53 Transcriptomics Jobs

As a Scientist I Genomics at HaystackAnalytics in Navi Mumbai, you will be a key player in developing and automating bioinformatics pipelines for NGS sequencing services. Your role will involve designing, optimizing, and implementing scalable NGS data analysis pipelines for various projects involving different organisms. Your problem-solving skills and experience in NGS data analysis will be crucial in this role. Key Responsibilities: - Design, develop, and optimize scalable NGS data analysis pipelines for WGS, WES, RNA-Seq, and metagenomics projects involving various organisms. - Conduct high-quality bioinformatics analyses including QC, alignment, variant calling/annotation, transcriptomics, and metagenomic profiling. - Integrate automation solutions for routine and customized bioinformatics analyses to improve efficiency and scalability. - Conduct custom NGS data analysis and prepare detailed reports. - Collaborate with wet-lab teams, product managers, and clients to refine requirements, troubleshoot issues, and deliver analytical reports. - Maintain detailed records of workflows, protocols, pipeline releases, and validation procedures. - Stay updated with the latest bioinformatics methods, algorithms, and NGS technologies and implement new solutions as required. - Address client queries and support custom project requirements. Qualifications Required: - PhD or MSc with over 8 years of relevant experience in Bioinformatics, Transcriptomics, Genomics, Metagenomics, or related disciplines. - Experience in building bioinformatics pipelines for various NGS data analysis workflows. - Proficiency in Python (2-4 years+ experience) and Bash scripting (3-5 years+ experience). - Familiarity with handling various databases and tools, statistical analysis, and working on Linux OS. - Ability to read, interpret, and curate scientific literature. - Excellent communication skills (oral and written) with attention to detail. - Ability to learn new techniques, multitask, keep accurate records, follow instructions, meet deadlines, and comply with company policies. - Experience with pipeline orchestration tools such as Nextflow or Snakemake will be a bonus. Join HaystackAnalytics and contribute to the development of clinical genomics products that enable accurate and personalized diagnostics in the healthcare industry.,

Position - Scientist I Genomics Location - Navi Mumbai | Work From Office Who Are We HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India's most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics based diagnostic solution for Tuberculosis was recognized as one of top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022. Role Overview The Scientist will play a critical role in the development, implementation, and automation of bioinformatics pipelines for our NGS sequencing services. The ideal candidate will have hands-on experience with various NGS data analysis, familiarity with automation tools, and a strong problem-solving mindset. What We Want You To Do Design, develop, and optimize scalable NGS data analysis pipelines for WGS, WES, RNA-Seq, and metagenomics projects involving human, bacteria, fungi, algae, and other organisms. Conduct high-quality, end-to-end bioinformatics analyses—QC, alignment, variant calling/annotation, transcriptomics, and metagenomic profiling. Integrate automation solutions for routine and customized bioinformatics analyses, improving efficiency, reproducibility, and scalability. Conduct custom NGS data analysis and prepare robust detailed reports Work closely with wet-lab teams, product managers, and clients to refine requirements, troubleshoot issues, and deliver robust analytical reports. Maintain detailed records of workflows, protocols, pipeline releases, and validation procedures. Stay up-to-date with the latest bioinformatic methods, algorithms, and NGS technologies; evaluate and implement new solutions as needed. Address client queries and support custom project requirements. What Are We Looking In You PhD or MSc with +8 years relevant experience in Bioinformatics, Transcriptomics, Genomics, Metagenomics or related disciplines. Experience with building bioinformatics pipelines for various NGS data analysis workflows Assisting in drafting and completing manuscripts for publication Experience with handling various different databases and tools Perform statistical analysis on the datasets Comfortable working on Linux OS system Ability to read, interpret and curate scientific literature Excellent communication skills (oral and written) and attention to detail Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow, instructions, meet deadlines, and comply with company policies Experience of 2-4yrs+ in Python & experience of 3-5 yrs in Bash scripting Experience with pipeline orchestration tools (Nextflow or Snakemake) will be a bonus Skills: bioinformatics,python,genomics,pipeline,automation,metagenomics,ngs,data analysis,linux,phd,transcriptomics

Synlico Inc., a Johnson & Johnson Innovation JLABS@SSF resident company, is at the forefront of transforming biology by leveraging causality to make cellular processes explainable, predictable, and engineerable. Our AI platform employs machine learning & deep learning, causal discovery & inference, and single-cell bioinformatics. Our unique approach lies in unraveling the causal relationships between cells' intracellular activities and their responses in the patients' heterogeneous microenvironment, predicting how cell modulation alters its behavior in patients. Our technology has a broad range of potential vertical applications in drug discovery, including target identification, therapy design, manufacturing, and biomarker discovery. Our HQ is in South San Francisco, CA, United States. For more information, please visit www.synlico.com. We are seeking a Scientist - Bioinformatics Data Curation (Remote, Contract) to conduct searches in public databases and distinguish different functional genomics technologies and biological experimental methodologies. The role involves validating and entering accurate datasets, ensuring data consistency, and optimizing database structure for smooth information flow. The ideal candidate should have a strong focus on modern single-cell gene expression technologies and coding skills, demonstrate critical thinking, attention to detail, and consistency in delivering reliable results. Job Description: Conduct searches in public genomic databases (GEO, CellXGene, HumanCell Atlas). Distinguish different functional genomics technologies and biological experimental methodologies to match the company's needs. Understand necessary dataset qualifications. Enter matching datasets to the database accurately with the utmost attention. Validate/cross-check new datasets to avoid duplicates or problems. Optimize database structure to optimize information flow. Job Requirements: Ph.D graduate in computational biology, bioinformatics, single-cell biology, genomics, immunology, biomedical engineering, or a related field. A strong technical focus and knowledge of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing Demonstrated proficiency in the analysis of large-scale transcriptomics data (especially scRNA-seq) Experience identifying outliers for gene expression and splicing from RNA-seq data Experience working with relevant genomic databases and browsers and their annotations Proficiency in Git operations Strong coding and visualization skills using Python or R. Experienced in data wrangling using pandas or tidyverse. Skilled in Linux command-line interface (CLI) operations. Attention to Detail: Ability to ensure accuracy and spot discrepancies or duplications for data entry and validation. Dig to the bottom: Ability to track down the correct data source and not be dissuaded by obstacles or incomplete information. Critical Thinking: Ability to assess, analyze, and question information critically is essential. Consistency: Ability to deliver steady and reliable results in a given time frame. Good command of English speaking and writing. Total Contract Value (annual): Rs. 12L - 15L. Contractors are responsible for their own taxes.

Job Title: Data Quality Analyst Function: Data Harmonization Location: Delhi/Bangalore About the Role: We are seeking a detail-oriented Data Quality Analyst to join our delivery team. This role requires expertise in AI-assisted curation, API scrapping, data modelling and data schema creation & manipulation. A strong understanding of multi-omics data types, like transcriptomics, proteomics and varied types of single-cell omics technologies is important for this role. Acquaintance with programming languages like Python and with clinical data standards such as OMOP, FHIR, and HL7 is a must. If you are eager to grow in the field of omics data, and work on cutting-edge AI technology, this role is an excellent opportunity for you. Key Responsibilities: Identify, curate and annotate biological datasets from various omics/clinical modalities, including transcriptomics, proteomics, H&E, clinical trials and single-cell data using APIs and AI tools. Automate curation of large interaction datasets decreasing curator workload. Build fit for purpose conceptual & logical data models. Have working knowledge of data models, use-case specific schema and standardize biological data using established ontologies and guidelines. Ensure high-quality curation and consistency across multiple sources to deliver reliable results. Inter and Intra-team communication Work with cross-functional teams to gather requirements and ensure alignment on biological data curation standards. Provide clear and timely updates to stakeholders on the progress of data curation tasks, ensuring transparency and alignment with project goals. Liaison between PMs, developers as a member of a cross-functional team to add newer capabilities to our curation workflow. Qualifications : A degree in Life Sciences, Bioinformatics, or a related field (Master's preferred), with familiarity in bioinformatics tools and databases for data curation. Experience with programming languages like Python is a must. Skills: Git, basics of prompt engineering, API scrapping & LLM for scientific curation. Acquaintance with healthcare/clinical data exchange standards (OMOP, FHIR, HL7). Excellent interpersonal and communication skills, both written and verbal. A highly motivated, dynamic, and detail-oriented individual with good data curation and management skills. Good To Have 1 year of curation experience, preferably in the life sciences industry. Hands-on experience using generative AI platforms and tools (e.g., ChatGPT, Gemini, Claude, or similar).

Date: 26 Aug 2025 Location: Bangalore, KA, IN, 560099 Custom Field 1: Dedicated Centre Job Description Designation: Associate Scientist Job Location: Bangalore Department: LDO About Syngene Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene’ s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation. Job Purpose: The Lead discovery optimization genomics group is looking for a motivated scientist to carry out genomics assays for early discovery programs, understanding model systems and mechanism of action of compounds. The person has work on a range of genomics assays ranging from qPCRs to single cell genomics. Key Responsibilities Validation and optimization of qPCR-based assays for gene expression analysis Transcriptomics from cells, tissues and extracellular samples with varying range of inputs Single cell genomics Working on fit-for-purpose genomics assays Work in a collaborative environment. Meticulous record keeping and presenting work to stakeholders. Educational Qualification: M.Sc., M.Tech. Technical/functional Skills: Experience with PCR and qPCR-based assays for gene expression and genomtyping. Next generation sequencing experience inclusive of bulk transcriptomics. Familiarity with automation platforms for RNA isolation and is a plus. Experience: 4-8 years Behavioral Skills: Ability to work in collaborative atmosphere. Strong communication and presentation skills. Equal Opportunity Employer It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.

The French National Research Institute for Agriculture, Food, and the Environment (INRAE) is seeking applications for a postdoctoral position in synthetic biology and microbiology at the UMR INRAE BFP unit in Villenave d'Ornon, France. This role is part of the TARGET Project, focusing on advancing the cultivation of noncultivable bacteria, particularly the plant-pathogenic Flavescence Dore phytoplasma. The interdisciplinary research involves microbiology, culturomics, genetic engineering, systems biology, and computational modeling. The ideal candidate should hold a PhD in microbiology, metabolomics, systems biology, molecular biology, biochemistry, or a related field. Experience with transcriptomics and/or LC-MS-based metabolomics is required. Knowledge in metabolic modeling or biochemical pathway analysis is advantageous. A background in microbiology, molecular biology, or bioinformatics is preferred, along with skills in RT-qPCR, metabolic imaging, or protein expression/purification. As a postdoctoral researcher, your responsibilities will include developing and validating methods to differentiate phytoplasma metabolic responses from host organisms using transcriptomics and metabolomics. Conducting targeted and untargeted metabolomics to identify metabolites in infected and healthy host tissues, utilizing metabolic imaging techniques to map metabolite distributions, and integrating multi-omics data to infer host-pathogen metabolic interactions. Additionally, you will support metabolic modeling, perform biochemical analyses, collaborate with bioinformaticians, and contribute to scientific publications and presentations. The benefits of this position include a gross monthly salary ranging between 3,135 and 4,544, depending on experience and profile. You will be entitled to up to 30 days of annual leave plus 15 days of reduced working time. The institute offers parenting support, skills development opportunities, social support, leisure benefits, access to sports and cultural activities, and collective catering. Interested candidates are required to submit a detailed CV, a cover letter outlining research interests and motivation, and contact details for two references to Dr. Pierre Ptriacq (pierre.petriacq@inrae.fr) and Dr. Bessem Chouaia (bessem.chouaia@inrae.fr). Applications will be reviewed on a rolling basis until the position is filled. For any inquiries, please reach out to the supervisors using the provided email addresses. The anticipated start date for this position is October 1, 2025, with a contract duration of 23 months, renewable for an additional 24 months. If you are looking for job opportunities in your field and preferred country, sign up for 14 days free at phdfinder.com/register.,

Walk-in-Interview on 18/09/2025 (Thursday) at CSIR-CSMCRI, Bhavnagar Project & Title : HCP0024 Phase-III: “Seaweed Cultivation 'Identification of Potential Locations across India for and Seaweed Cultivation (IPL-ISeaC)” [ HCP0024,WP-02, WP-03 and WP-04] WP-02: Development of improved Kappaphycus and Gracilaria variants for better growth and stress tolerance through a Non-GMO approach WP-03: Edible seaweed-based product(s) characterization and consumer acceptance WP-04: Biostimulants with Stable Active Components and Targeted Mechanistic Insights Name of post (No. of post) : Project Associate I [01 Post]: WP-02 Project Associate I [01 Post]: WP-03 Project Assistant II [01 Post]: WP-02 Senior-PAT [01 Post]: WP-04 Post Name: Project Associate I (PAT-I) Number of posts: 02 Essential Qualification: Master’s degree (M.Sc.) in Botany / Biotechnology / Biochemistry Preferred experience: Basic knowledge of Botany / Plant Biotechnology / Biochemistry and laboratory skills/ethics to execute/deal the experimentations Emoluments: (a) ₹. 31,000/- + HRA for those candidates who have qualified CSIR-UGC / ICAR / ICMR NET including lectureship/assistant professorship or GATE or those who have qualified National level examinations conducted by Central Government Department like DBT/DST or equivalent and/or their Agencies/Institutions (b) ₹ 25,000/- + HRA for others who do not fall under (a) above Job description: Selected candidate will work on the WP-02 and WP-03 of CSIR sponsored project, HCP0024 (III Phase). The candidates are expected to design/ execute the experiments as well as visit the seaweed growing sites for fulfilling the project objectives. Age limit: 35 years as on date of interview (age relaxation as per CSIR rule). Post Name: Project Assistant II (PA-II) Number of posts: 01 Essential Qualification: Graduation degree in Biological Science with Chemistry as one of the subject Preferred experience: Basic knowledge of computer work and ability to support routine R&D work in laboratory working in the area of Plant Science / Biotechnology Emoluments: 20,000/-+ HRA Job description: Selected candidate will work on the WP-02 of CSIR sponsored project, HCP0024 (III Phase). The candidates are expected to design/ execute the experiments as well as visit the seaweed growing sites for fulfilling the project objectives. Age limit: 35 years as on date of interview (age relaxation as per CSIR rule). Senior-PAT [01 Post]: WP-04 Essential Qualifications: For Senior PAT: Doctoral Degree in any branch of Biological Science with specialization in Plant Molecular Biology / Plant Biotechnology. Desirable: Knowledge of bioinformatics, transcriptomics, metagenomics, DNA fingerprinting, gene expression studies, and published doctoral work in SCI Journals. Candidates with experience after Ph.D. will be preferred. Monthly Emoluments: Rs. 42000/- + HRA Age: The upper age limit for Senior-PAT is 40 years as on date of Interview. (Age relaxation as per CSIR rules). Other details: Duration: This position is purely temporary, initially for one year and subsequently extendable based on work performance up to project duration, whichever is earlier. It does not confer any right or claim for absorption in CSIR-CSMCRI. This post is purely temporary and co-terminus with the project. The engagement of a project staff in different projects either in the CSIR - Central Salt & Marine Chemicals Research Institute, Bhavnagar or different Laboratories/Institutes of CSIR taken together shall not exceed 06 years in any case. It would, therefore, not confer any right/claim implicit or explicit for any candidate for claiming extension or absorption in CSIR-CSMCRI, Bhavnagar. Interview Details: Interested candidates should appear before the Selection Committee for an interview/written test at CSIR-Central Salt and Marine Chemicals Research Institute, G. B. Marg, Bhavnagar-364002 (Gujarat) on 18th September 2025; Thursday (Reporting time 9:15 – 11:50 AM) in the institute (CSIR-CSMCRI, Bhavnagar). Required Documents: Please bring ( original and a set of xerox-copy ) following documents for Interview–: Dully filled application form*: Compulsory Birth Certificate / Proof of Date of Birth: Compulsory Category Certificate: If applicable Aadhaar Card: Compulsory Secondary Exam. Certificate: Compulsory Higher Secondary Exam. Certificate: Compulsory B.Sc. Mark sheet: Compulsory B.Sc. Degree certificate: Compulsory M.Sc. Mark sheet: Compulsory M.Sc. Degree certificate: Compulsory PhD Mark sheet: Compulsory for Senior PAT only PhD Degree certificate: Compulsory for Senior PAT only NET/GATE certificate, if applicable: If applicable Any other relevant documents: If applicable Experience Certificate(s): If applicable Recent photograph (1): Compulsory "No Objection Certificate" from the present employer if employed in a Government/Semi-Government or Autonomous Organization. (* download application from the site and fill carefully) For queries, please email csmcriapb@gmail.com (don’t send certifictaes or form, this is for query only) No TA/DA will be provided for attending the interview.

Job title: AI/ML Data Scientist Location: Hyderabad About the job Transform healthcare through innovation. At Sanofi, we're not just developing treatments—we're pioneering the future of healthcare by harnessing the power of data insights and responsible AI to accelerate breakthrough therapies. As an AI/ML Scientist on our AI and Computational Sciences team, you'll: Drive innovation that directly impacts patient outcomes Collaborate with world-class scientists to solve complex healthcare challenges Apply advanced AI techniques to increase drug development success rates Shape the responsible use of AI in life-saving medical research Be part of a mission that matters. Help us transform data into life-changing treatments and join a team where your expertise can make a meaningful difference in patients' lives. Our Team : The AI and Computational Sciences team is a key team within R&D Digital, focused on image, omics, wearable sensor data, and clinical data analytics. This team plays a critical role in bridging the gap between general purposed digital products and specific project needs. We are looking for a skilled AI/ML Data Scientist to join our elite AI and Computational Sciences team and harness cutting-edge AI to revolutionize healthcare. As a key player within R&D Digital, you'll transform complex data into life-changing medical breakthroughs. Impact You'll Make Drive innovation across multiple high-impact domains: Precision Medicine: Develop patient response prediction models that personalize treatments Advanced Omics Analysis: Pioneer cell type and cell stage quantification techniques Advanced Image/Video Analysis: Lead application of state-of-art computer vision methods for gaining unprecedented insights about drug efficacy from medical images/videos Digital Health: Design novel biomarkers from wearable sensor data Biological Insights: Create enzyme property prediction algorithms and conduct disease pathway analyses Your Growth Journey Technical Mastery: Develop expertise across image analysis, time series modeling, GenAI, AI Agents, and explainable AI Scientific Impact: Publish in top-tier AI/ML journals and secure patents that protect groundbreaking innovations Global Influence: Deploy solutions that impact patients worldwide Your Environment Elite Team: Work alongside AI/ML experts and drug development experts in an agile, high-performance environment Cutting-Edge Resources: Access Sanofi's state-of-the-art cloud infrastructure and data platforms Continuous Learning: Receive mentorship and training opportunities to sharpen your leadership and AI/ML skills Join Our AI-First Vision Be part of Sanofi's bold transformation into an AI-first organization where you'll: Develop your skills through world-class mentorship and training Chase the miracles of science to improve people's lives Ready to transform healthcare through the power of AI? Main Responsibilities : Research Phase Excellence Design and implement AI models for target identification and validation using multi-omics data (genomics, proteomics, transcriptomics) Develop predictive algorithms to molecular design for compound selection and accelerate lead optimization Create computer vision systems for high-throughput screening image analysis and cellular phenotyping Clinical Development Innovation Engineer digital biomarkers from wearable sensors and mobile devices to enable objective, continuous patient monitoring Implement advanced time-series analysis of real-time patient data to detect early efficacy signals Design AI-powered patient stratification models to identify responder populations and optimize trial design Multi-Modal Data Integration Architect systems that harmonize diverse data types (imaging, omics, clinical, text, sensor) into unified analytical frameworks Develop novel feature extraction techniques across modalities to enhance predictive power Create visualization tools that present complex multi-modal insights to clinical teams Scientific Impact Collaborate with cross-functional teams to translate AI insights into actionable drug development strategies Present findings to scientific and business stakeholders with varying technical backgrounds Publish innovative methodologies in top-tier scientific and AI/ML journals Contribute to patent applications to protect novel AI/ML approaches About you Experience : 3 to 5 years of experience in AI/ML and computational model development on multimodal data like omics, biomedical imaging, text and clinical trials data Key Functional Requirement: Demonstrated track record of successful AI/ML project implementation 3-5 years of experience in computational modeling or AI/ML algorithm development, or any other related field Deep understanding and proven track record of developing model training pipelines and workflows Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Technical Skills : Programming Proficiency: Advanced Python skills with experience in ML frameworks (PyTorch, TensorFlow, JAX) Machine Learning: Deep expertise in supervised, unsupervised, and reinforcement learning algorithms Drug discovery: molecular design, docking, binding site prediction, mRNA vaccine design, ADMET property, protein structure prediction, molecular dynamics simulation Deep Learning: Experience designing and implementing neural network architectures (CNNs, RNNs, Transformers) Computer Vision: Proficiency in image processing, segmentation, and object detection techniques (SAM, ViT, Diffusion Models, MediaPipe, MMPose, MonoDepth, VoxelNet, SlowFast, C3D) Natural Language Processing: Experience with large language models, text mining, and information extraction (OpenAI, Claude, Llama, Qwen, Deepseek model series) Time Series Analysis: Expertise in analyzing temporal data from sensors and wearable devices (HAR foundation models, compliance detection models) Omics Analysis: Knowledge of computational methods for protein genomics, proteomics, or transcriptomics data Cloud Computing: Experience deploying ML models on cloud platforms (AWS) Tools and Technologies : Data Processing: Experience with data pipelines and ETL processes Version Control: Proficiency with Git and collaborative development workflows, Docker MLOps: Experience with model deployment, monitoring, and maintenance Visualization: Ability to create compelling data visualizations (Matplotlib, Seaborn, Plotly) Experiment Tracking: Familiarity with tools like MLflow, Weights & Biases, or similar platforms Soft Skills : Strong scientific communication abilities for technical and non-technical audiences Collaborative mindset for cross-functional team environments Problem-solving approach with ability to translate business needs into technical solutions Self-motivated with capacity to work independently and drive projects forward Education : PhD/MS/BE/BTech/ME/MTech in Computer Science and Engineering, AI/ML, other relevant engineering discipline, Computational Biology, Data Science, Bioinformatics or related fields (with equivalent experience) Preferred : Publications or public github Languages : English Why Choose us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

Job title: AI/ML Data Scientist Location: Hyderabad About The Job Transform healthcare through innovation. At Sanofi, we're not just developing treatments—we're pioneering the future of healthcare by harnessing the power of data insights and responsible AI to accelerate breakthrough therapies. As an AI/ML Scientist on our AI and Computational Sciences team, you'll: Drive innovation that directly impacts patient outcomes Collaborate with world-class scientists to solve complex healthcare challenges Apply advanced AI techniques to increase drug development success rates Shape the responsible use of AI in life-saving medical research Be part of a mission that matters. Help us transform data into life-changing treatments and join a team where your expertise can make a meaningful difference in patients' lives. Our Team The AI and Computational Sciences team is a key team within R&D Digital, focused on image, omics, wearable sensor data, and clinical data analytics. This team plays a critical role in bridging the gap between general purposed digital products and specific project needs. We are looking for a skilled AI/ML Data Scientist to join our elite AI and Computational Sciences team and harness cutting-edge AI to revolutionize healthcare. As a key player within R&D Digital, you'll transform complex data into life-changing medical breakthroughs. Impact You'll Make Drive Innovation Across Multiple High-impact Domains Precision Medicine: Develop patient response prediction models that personalize treatments Advanced Omics Analysis: Pioneer cell type and cell stage quantification techniques Advanced Image/Video Analysis: Lead application of state-of-art computer vision methods for gaining unprecedented insights about drug efficacy from medical images/videos Digital Health: Design novel biomarkers from wearable sensor data Biological Insights: Create enzyme property prediction algorithms and conduct disease pathway analyses Your Growth Journey Technical Mastery: Develop expertise across image analysis, time series modeling, GenAI, AI Agents, and explainable AI Scientific Impact: Publish in top-tier AI/ML journals and secure patents that protect groundbreaking innovations Global Influence: Deploy solutions that impact patients worldwide Your Environment Elite Team: Work alongside AI/ML experts and drug development experts in an agile, high-performance environment Cutting-Edge Resources: Access Sanofi's state-of-the-art cloud infrastructure and data platforms Continuous Learning: Receive mentorship and training opportunities to sharpen your leadership and AI/ML skills Join Our AI-First Vision Be part of Sanofi's bold transformation into an AI-first organization where you'll: Develop your skills through world-class mentorship and training Chase the miracles of science to improve people's lives Ready to transform healthcare through the power of AI? Main Responsibilities Research Phase Excellence Design and implement AI models for target identification and validation using multi-omics data (genomics, proteomics, transcriptomics) Develop predictive algorithms to molecular design for compound selection and accelerate lead optimization Create computer vision systems for high-throughput screening image analysis and cellular phenotyping Clinical Development Innovation Engineer digital biomarkers from wearable sensors and mobile devices to enable objective, continuous patient monitoring Implement advanced time-series analysis of real-time patient data to detect early efficacy signals Design AI-powered patient stratification models to identify responder populations and optimize trial design Multi-Modal Data Integration Architect systems that harmonize diverse data types (imaging, omics, clinical, text, sensor) into unified analytical frameworks Develop novel feature extraction techniques across modalities to enhance predictive power Create visualization tools that present complex multi-modal insights to clinical teams Scientific Impact Collaborate with cross-functional teams to translate AI insights into actionable drug development strategies Present findings to scientific and business stakeholders with varying technical backgrounds Publish innovative methodologies in top-tier scientific and AI/ML journals Contribute to patent applications to protect novel AI/ML approaches About You Experience : 3 to 5 years of experience in AI/ML and computational model development on multimodal data like omics, biomedical imaging, text and clinical trials data Key Functional Requirement Demonstrated track record of successful AI/ML project implementation 3-5 years of experience in computational modeling or AI/ML algorithm development, or any other related field Deep understanding and proven track record of developing model training pipelines and workflows Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Technical Skills Programming Proficiency: Advanced Python skills with experience in ML frameworks (PyTorch, TensorFlow, JAX) Machine Learning: Deep expertise in supervised, unsupervised, and reinforcement learning algorithms Drug discovery: molecular design, docking, binding site prediction, mRNA vaccine design, ADMET property, protein structure prediction, molecular dynamics simulation Deep Learning: Experience designing and implementing neural network architectures (CNNs, RNNs, Transformers) Computer Vision: Proficiency in image processing, segmentation, and object detection techniques (SAM, ViT, Diffusion Models, MediaPipe, MMPose, MonoDepth, VoxelNet, SlowFast, C3D) Natural Language Processing: Experience with large language models, text mining, and information extraction (OpenAI, Claude, Llama, Qwen, Deepseek model series) Time Series Analysis: Expertise in analyzing temporal data from sensors and wearable devices (HAR foundation models, compliance detection models) Omics Analysis: Knowledge of computational methods for protein genomics, proteomics, or transcriptomics data Cloud Computing: Experience deploying ML models on cloud platforms (AWS) Tools And Technologies Data Processing: Experience with data pipelines and ETL processes Version Control: Proficiency with Git and collaborative development workflows, Docker MLOps: Experience with model deployment, monitoring, and maintenance Visualization: Ability to create compelling data visualizations (Matplotlib, Seaborn, Plotly) Experiment Tracking: Familiarity with tools like MLflow, Weights & Biases, or similar platforms Soft Skills Strong scientific communication abilities for technical and non-technical audiences Collaborative mindset for cross-functional team environments Problem-solving approach with ability to translate business needs into technical solutions Self-motivated with capacity to work independently and drive projects forward Education : PhD/MS/BE/BTech/ME/MTech in Computer Science and Engineering, AI/ML, other relevant engineering discipline, Computational Biology, Data Science, Bioinformatics or related fields (with equivalent experience) Preferred : Publications or public github Languages : English Why Choose us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

University: Leibniz-Institute for Plant Genetics and Crop Plant Research Country: Germany Deadline: 2025-09-03 Fields: Bioinformatics, Data Science, Systems Biology, Computational Biology, Molecular Biology Are you passionate about harnessing the power of machine learning and metabolomics to unravel the complex interactions between plants and their microbiomes—while advancing your academic career in a world-class research environment? If your goal is to contribute to cutting-edge research at the intersection of computational science and plant biology, the PhD position in Machine Learning & Metabolomics at the Leibniz-Institute for Plant Genetics and Crop Plant Research (IPK) in Germany may be the perfect opportunity for you. About The University Or Research Institute The Leibniz-Institute for Plant Genetics and Crop Plant Research (IPK) is one of Germany’s most prominent research centers specializing in plant genetics, genomics, and crop science. Located in Gatersleben, Saxony-Anhalt, the IPK is recognized internationally for its pioneering research in plant biology, genetics, and biotechnology. As part of the esteemed Leibniz Association, the institute boasts a vibrant, interdisciplinary academic environment, state-of-the-art facilities—including high-performance computing and advanced imaging—and strong collaborations with leading research institutions worldwide. Germany itself is renowned for its commitment to scientific innovation and excellence in higher education. As a PhD student in Germany, you will benefit from a structured doctoral training system, access to extensive research funding, and a high standard of living. The country’s central location in Europe also facilitates academic networking and travel, making it an attractive destination for ambitious early-career scientists. Research Topic and Significance The focus of this PhD project is on using machine learning to investigate how genetic variation influences gene regulation, protein function, and ultimately, observable plant traits. The research is embedded within a DFG-funded international initiative that explores plant-microbiome interactions through large-scale metabolomics and other omics platforms. Also See Finland – PhD in Sentient AI at University of Oulu Europe – Postdoc in Grid-Connected Power Converters at Luxembourg Institute of Science and… Germany – PhD in Multidimensional Omics Data Analysis at Leibniz Institute for Analytical Sciences Denmark – PhD in CRISPR-based Vaccine Adjuvant Research at Statens Serum Institut PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft Understanding these interactions is crucial for advancing sustainable agriculture, improving crop resilience, and addressing global food security challenges. By integrating multi-omics data—including genomics, transcriptomics, and metabolomics—this project seeks to uncover the complex molecular mechanisms that underpin plant health and productivity. The insights gained have the potential to inform breeding strategies and biotechnological innovations that can transform agriculture worldwide. Project Details As a member of the Network Analysis and Modelling group, the successful candidate will: – Process and curate LC-MS/MS data for high-quality feature extraction. – Design and train machine learning models for mass spectrometry and chemometric data. – Integrate multi-omic datasets, including genomics and transcriptomics. – Present research findings at international conferences and publish in peer-reviewed journals. The project offers a 3-year, project-based position with a gross salary up to 65% E13 TV-L, starting on October 1, 2025. The IPK provides a collegial, international atmosphere, flexible and family-friendly working hours, and a structured PhD program with extensive training and career development opportunities. Candidate Profile The Ideal Applicant Will Have – A Master’s degree (or equivalent) in Bioinformatics, Data Science, Systems Biology, or other relevant fields. – Programming experience in Python and/or R (e.g., scikit-learn, PyTorch, TensorFlow). – Knowledge of omics technologies, especially mass spectrometry and chemometrics. – A background in basic molecular biology or biochemistry. Candidates who demonstrate strong scientific curiosity, motivation, and a passion for interdisciplinary teamwork at the interface of biology and data science will thrive in this environment. The ability to work independently and communicate data science projects transparently is essential. Application Process The Application Window Is Open From August 12, 2025, To September 3, 2025. Applications Must Be Submitted Online As a Single PDF Document (including a Letter Of Motivation, CV, And Certificates) Via The Official Job Portal https://www.ipk-gatersleben.de/en/career/job-offers/job-offer/phd-student-f-m-d-in-the-field-of-machine-learning-metabolomics For further information, please refer to the official advertisement. Conclusion If you are eager to advance your expertise in machine learning, metabolomics, and plant-microbiome research within an internationally recognized institute, this PhD position at the Leibniz-Institute for Plant Genetics and Crop Plant Research represents an exceptional opportunity. We encourage all qualified candidates to apply and to explore additional career opportunities in related fields. Want to calculate your PhD admission chances? Try it here: https://phdfinder.com/phd_admission_chance_calculator/ Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/position-alert-service/ We’re an independent team helping students find opportunities. Found this opportunity helpful? Support us with a coffee!

Jobportal DK Videnskabelige stillinger Post doc position in cancer genomics Weischenfeldt research group, BRIC University of Copenhagen We are looking for a highly motivated, creative, and talented PhD-level computational biologist to join our team commencing November 1st, 2025 or as soon as possible hereafter. Our group and research The Weischenfeldt lab use genome data science to delineate the mutational mechanisms and clonal evolution of cancer, with a particular focus on genomic structural rearrangements. We use computational and experimental approaches including WGS, single-cell, and long-read sequencing together with chromatin conformation techniques to understand how cancers mutate and evolve, which we are applying to cancer patient material in close collaboration with clinical colleagues at the hospital. Project Description Malignant brain tumours are highly complex and heterogeneous disorders, with extensive ongoing clonal evolution. The project involves integrative data science analyses of both retrospective and prospective collected genomic and epigenetic sequencing data, imaging and clinical data from brain tumour patients to examine the evolutionary trajectories and treatment resistance mechanisms of patients with brain tumours. The successful candidates will be joining a larger team of cross-disciplinary cancer researchers and clinicians, with the aims to uncover basic mechanisms that can be translated to the clinic. Starting date : November 1st or after agreement. Duration: 2 years with possibility for extension. Principal supervisor is group leader, Prof Joachim Weischenfeldt, BRIC and Rigshospitalet, joachim.weischenfeldt@bric.ku.dk, Phone: +453545 6040 Your job You will be working with data from patient-derived tumour material in collaboration with other team members. Your job will include development of novel and executing existing computational methods including machine learning methods to integrate genomics, transcriptomics and epigenomics data set to uncover genomic-epigenomic interactions and cancer evolution trajectories. The tasks will include quality assessment, processing and filtering of different data modalities, and co-supervision of junior researchers in the group. You will have the opportunity to develop your own research ideas and approaches. The position involves interdisciplinary research through exchange of ideas and results with clinicians and researchers. Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: Essential Experience And Skills You have a PhD in computational biology, bioinformatics or related areas You are highly experienced in working with NGS data and have experience with multi-omic data Experience with tumour evolution reconstruction Proficient communication skills and ability to work in teams Excellent English skills written and spoken Desirable Experience And Skills Experience with machine learning and statistics Knowledge on mutational mechanisms in cancer Publications as co-author or first author in a related area Fellowships, grants and prizes Place of employment The place of employment is at BRIC, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and access to HPC. Please read more about our research at https://www.bric.ku.dk/Research/weischenfeldt-group/ Terms of employment Salary, pension and terms of employment will be in accordance with the agreement between the Danish Ministry of Finance and AC (Danish Confederation of Professional Associations). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 18,07 % to your pension fund. Non-Danish and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years. The position is covered by the Job Structure for Academic Staff at Universities 2025. Questions For further information please contact Joachim Weischenfeldt, joachim.weischenfeldt@bric.ku.dk Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility). Application procedure Your Online Application Must Be Submitted In English By Clicking ‘Apply Now’ Below. Furthermore Your Application Must Include The Following Documents/attachments – All In PDF Format Motivated letter of application (max. one page). CV incl. education, work/research experience, language skills and other skills relevant for the position. A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do. List of publications. Letters of recommendation Furthermore, the applicant should provide at least one letter of recommendation. To be taken into consideration, the letter must be signed by the supporting person with institutional letter head and in PDF-format. Please make sure that an easy match between the recommendation letter and the individual applicant is possible. Application deadline: 31. August 2025, 23.59pm CET We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements. The further process After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities. University of Copenhagen wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of age, disability, gender, nationality, race, religion or sexual orientation. Appointment will be based on merit alone. SØG STILLINGEN Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre. Kontakt Joachim Lütken Weischenfeldt E-mail: joachim.weischenfeldt@bric.ku.dk Info Ansøgningsfrist: 31-08-2025 Ansættelsesdato: 01-11-2025 Afdeling/Sted: Biotech Research and Innovation Centre (BRIC) Søg i stillinger Søg

Who Are We HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India&aposs most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics based diagnostic solution for Tuberculosis was recognized as one of top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022. Role Overview The Scientist will play a critical role in the development, implementation, and automation of bioinformatics pipelines for our NGS sequencing services. The ideal candidate will have hands-on experience with various NGS data analysis, familiarity with automation tools, and a strong problem-solving mindset. What We Want You To Do Design, develop, and optimize scalable NGS data analysis pipelines for WGS, WES, RNA-Seq, and metagenomics projects involving human, bacteria, fungi, algae, and other organisms. Conduct high-quality, end-to-end bioinformatics analysesQC, alignment, variant calling/annotation, transcriptomics, and metagenomic profiling. Integrate automation solutions for routine and customized bioinformatics analyses, improving efficiency, reproducibility, and scalability. Conduct custom NGS data analysis and prepare robust detailed reports Work closely with wet-lab teams, product managers, and clients to refine requirements, troubleshoot issues, and deliver robust analytical reports. Maintain detailed records of workflows, protocols, pipeline releases, and validation procedures. Stay up-to-date with the latest bioinformatic methods, algorithms, and NGS technologies; evaluate and implement new solutions as needed. Address client queries and support custom project requirements. What Are We Looking In You PhD or MSc with +8 years relevant experience in Bioinformatics, Transcriptomics, Genomics, Metagenomics or related disciplines. Experience with building bioinformatics pipelines for various NGS data analysis workflows Assisting in drafting and completing manuscripts for publication Experience with handling various different databases and tools Perform statistical analysis on the datasets Comfortable working on Linux OS system Ability to read, interpret and curate scientific literature Excellent communication skills (oral and written) and attention to detail Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow, instructions, meet deadlines, and comply with company policies Experience of 2-4yrs+ in Python & experience of 3-5 yrs in Bash scripting Experience with pipeline orchestration tools (Nextflow or Snakemake) will be a bonus Skills: bash scripting,bioinformatics,statistical analysis,transcriptomics,python,ngs data analysis,ngs,automation tools,automation,pipeline,genomics,pipeline orchestration tools (nextflow, snakemake),metagenomics Show more Show less

Job portal All vacancies Post doc position in cancer genomics Weischenfeldt research group, BRIC University of Copenhagen We are looking for a highly motivated, creative, and talented PhD-level computational biologist to join our team commencing November 1st, 2025 or as soon as possible hereafter. Our group and research The Weischenfeldt lab use genome data science to delineate the mutational mechanisms and clonal evolution of cancer, with a particular focus on genomic structural rearrangements. We use computational and experimental approaches including WGS, single-cell, and long-read sequencing together with chromatin conformation techniques to understand how cancers mutate and evolve, which we are applying to cancer patient material in close collaboration with clinical colleagues at the hospital. Project Description Malignant brain tumours are highly complex and heterogeneous disorders, with extensive ongoing clonal evolution. The project involves integrative data science analyses of both retrospective and prospective collected genomic and epigenetic sequencing data, imaging and clinical data from brain tumour patients to examine the evolutionary trajectories and treatment resistance mechanisms of patients with brain tumours. The successful candidates will be joining a larger team of cross-disciplinary cancer researchers and clinicians, with the aims to uncover basic mechanisms that can be translated to the clinic. Starting date : November 1st or after agreement. Duration: 2 years with possibility for extension. Principal supervisor is group leader, Prof Joachim Weischenfeldt, BRIC and Rigshospitalet, joachim.weischenfeldt@bric.ku.dk, Phone: +453545 6040 Your job You will be working with data from patient-derived tumour material in collaboration with other team members. Your job will include development of novel and executing existing computational methods including machine learning methods to integrate genomics, transcriptomics and epigenomics data set to uncover genomic-epigenomic interactions and cancer evolution trajectories. The tasks will include quality assessment, processing and filtering of different data modalities, and co-supervision of junior researchers in the group. You will have the opportunity to develop your own research ideas and approaches. The position involves interdisciplinary research through exchange of ideas and results with clinicians and researchers. Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: Essential Experience And Skills You have a PhD in computational biology, bioinformatics or related areas You are highly experienced in working with NGS data and have experience with multi-omic data Experience with tumour evolution reconstruction Proficient communication skills and ability to work in teams Excellent English skills written and spoken Desirable Experience And Skills Experience with machine learning and statistics Knowledge on mutational mechanisms in cancer Publications as co-author or first author in a related area Fellowships, grants and prizes Place of employment The place of employment is at BRIC, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and access to HPC. Please read more about our research at https://www.bric.ku.dk/Research/weischenfeldt-group/ Terms of employment Salary, pension and terms of employment will be in accordance with the agreement between the Danish Ministry of Finance and AC (Danish Confederation of Professional Associations). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 18,07 % to your pension fund. Non-Danish and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years. The position is covered by the Job Structure for Academic Staff at Universities 2025. Questions For further information please contact Joachim Weischenfeldt, joachim.weischenfeldt@bric.ku.dk Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility). Application procedure Your Online Application Must Be Submitted In English By Clicking ‘Apply Now’ Below. Furthermore Your Application Must Include The Following Documents/attachments – All In PDF Format Motivated letter of application (max. one page). CV incl. education, work/research experience, language skills and other skills relevant for the position. A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do. List of publications. Letters of recommendation Furthermore, the applicant should provide at least one letter of recommendation. To be taken into consideration, the letter must be signed by the supporting person with institutional letter head and in PDF-format. Please make sure that an easy match between the recommendation letter and the individual applicant is possible. Application deadline: 31. August 2025, 23.59pm CET We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements. The further process After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities. University of Copenhagen wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of age, disability, gender, nationality, race, religion or sexual orientation. Appointment will be based on merit alone. APPLY NOW Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career. Contact Joachim Lütken Weischenfeldt E-mail: joachim.weischenfeldt@bric.ku.dk Info Application deadline: 31-08-2025 Employment start: 01-11-2025 Department/Location: Biotech Research and Innovation Centre (BRIC) Search all vacancies

Part time Faculty required at Greater Noida Center G4, Block-F, Surajpur Industrial Area, Site-4, Greater Noida, 201308 Payments- Rs.1000 per hour Minimum 3 Hours per day Minimum 1 week every month, up to 4 weeks ( Monday to Friday) Regards www.nanofludiks.com Company Description Nanofludiks Research Pvt Ltd is a cutting-edge biotechnology company incubated at Jawaharlal Nehru University (JNU), New Delhi, one of India’s premier research institutions. Founded under the Atal Incubation Centre – JNU Foundation for Innovation (AIC-JNUFI) in May 2019, the company is a product of a government-supported initiative launched under the Atal Innovation Mission – NITI Aayog. Nanofludiks is one of 18 biotech-focused companies nurtured within AIC-JNUFI’s vibrant academic–entrepreneurial ecosystem. The company has developed the Indian Clinical and Life Sciences Research (ICLR) platform, a cloud-based biological data analytics tool with applications in healthcare, infectious disease research, and vaccine/drug development. Role Description This is a part-time on-site role for a Visiting Professor / Faculty specializing in Transcriptomics, Single Cell Analysis, and Metagenomics. The position is based in Gautam Buddha Nagar. The Visiting Professor / Faculty will be responsible for teaching and mentoring students, developing and delivering course materials, guiding research projects, and collaborating on innovative research initiatives within the company. Additionally, the role involves staying updated with the latest advancements in the field and contributing to the academic and research community at Nanofludiks. Qualifications Expertise in Transcriptomics, Single Cell Analysis, and Metagenomics Experience in teaching and mentoring students at the graduate level Strong research background with a track record of publications in relevant fields Ability to develop and deliver comprehensive course materials Excellent communication and presentation skills Experience in collaborating on research projects and interdisciplinary work Ph.D. or equivalent degree in Bioinformatics, Molecular Biology, Genetics, or a related field Prior experience in an academic or research institution is beneficial Ability to work on-site in Gautam Buddha Nagar

Who Are We HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India's most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics based diagnostic solution for Tuberculosis was recognized as one of top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022. Role Overview The Scientist will play a critical role in the development, implementation, and automation of bioinformatics pipelines for our NGS sequencing services. The ideal candidate will have hands-on experience with various NGS data analysis, familiarity with automation tools, and a strong problem-solving mindset. What We Want You To Do Design, develop, and optimize scalable NGS data analysis pipelines for WGS, WES, RNA-Seq, and metagenomics projects involving human, bacteria, fungi, algae, and other organisms. Conduct high-quality, end-to-end bioinformatics analyses—QC, alignment, variant calling/annotation, transcriptomics, and metagenomic profiling. Integrate automation solutions for routine and customized bioinformatics analyses, improving efficiency, reproducibility, and scalability. Conduct custom NGS data analysis and prepare robust detailed reports Work closely with wet-lab teams, product managers, and clients to refine requirements, troubleshoot issues, and deliver robust analytical reports. Maintain detailed records of workflows, protocols, pipeline releases, and validation procedures. Stay up-to-date with the latest bioinformatic methods, algorithms, and NGS technologies; evaluate and implement new solutions as needed. Address client queries and support custom project requirements. What Are We Looking In You PhD or MSc with +8 years relevant experience in Bioinformatics, Transcriptomics, Genomics, Metagenomics or related disciplines. Experience with building bioinformatics pipelines for various NGS data analysis workflows Assisting in drafting and completing manuscripts for publication Experience with handling various different databases and tools Perform statistical analysis on the datasets Comfortable working on Linux OS system Ability to read, interpret and curate scientific literature Excellent communication skills (oral and written) and attention to detail Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow, instructions, meet deadlines, and comply with company policies Experience of 2-4yrs+ in Python & experience of 3-5 yrs in Bash scripting Experience with pipeline orchestration tools (Nextflow or Snakemake) will be a bonus Skills: bash scripting,bioinformatics,statistical analysis,transcriptomics,python,ngs data analysis,ngs,automation tools,automation,pipeline,genomics,pipeline orchestration tools (nextflow, snakemake),metagenomics

Position: Bioinformatics Associate – Child Health Project We are seeking a motivated and detail-oriented individual with a background in bioinformatics (freshers welcome) to join our interdisciplinary research team. The project focuses on discovering novel biomarkers and understanding growth, neurodevelopment, and metabolic health in children, using advanced high-throughput platforms and multi-omics data. Key Responsibilities: Assist with analysis of large-scale proteomics and clinical datasets. Perform data cleaning, quality checks, and integration of biological and phenotypic data. Apply bioinformatics tools for statistical analysis, visualization, and interpretation of results. Support the team in documentation, data management, and reporting. Collaborate with clinicians, laboratory scientists, and data analysts. Desired Qualifications: Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Biotechnology, or related field. Basic experience in R/Python or other data analysis tools (academic projects/internships acceptable). Understanding of omics data analysis and statistics (proteomics, genomics, or transcriptomics preferred). Strong attention to detail, willingness to learn, and ability to work in a multidisciplinary team. Good written and verbal communication skills. Location: South Delhi To Apply: Send your CV and a brief statement of interest to rukman.manapurath@sas.org.in with the subject “Application for Bioinformatics Associate.” Fresh graduates interested in health research are encouraged to apply! Job Type: Full-time Pay: ₹55,000.00 - ₹60,000.00 per month Work Location: In person

Position: Bioinformatics Associate – Child Health Project We are seeking a motivated and detail-oriented individual with a background in bioinformatics (freshers welcome) to join our interdisciplinary research team. The project focuses on discovering novel biomarkers and understanding growth, neurodevelopment, and metabolic health in children, using advanced high-throughput platforms and multi-omics data. Key Responsibilities: Assist with analysis of large-scale proteomics and clinical datasets. Perform data cleaning, quality checks, and integration of biological and phenotypic data. Apply bioinformatics tools for statistical analysis, visualization, and interpretation of results. Support the team in documentation, data management, and reporting. Collaborate with clinicians, laboratory scientists, and data analysts. Desired Qualifications: Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Biotechnology, or related field. Basic experience in R/Python or other data analysis tools (academic projects/internships acceptable). Understanding of omics data analysis and statistics (proteomics, genomics, or transcriptomics preferred). Strong attention to detail, willingness to learn, and ability to work in a multidisciplinary team. Good written and verbal communication skills. Location: South Delhi To Apply: Send your CV and a brief statement of interest to rukman.manapurath@sas.org.in with the subject “Application for Bioinformatics Associate.” Fresh graduates interested in health research are encouraged to apply! Job Type: Full-time Pay: ₹55,000.00 - ₹60,000.00 per month Work Location: In person

About Strand Life Sciences: Strand is a 24 year old spin off from the Indian Institute of Science. We are a cutting edge Genomics company with a global customer base. We build applications that use DNA sequencing to improve human health. In the process, we build algorithms, data pipelines and visualizations to handle large amounts of sequence data. We anticipate that in the next few years, hundreds of millions of individuals will have their DNA sequenced, and invite you to join us in this transformative journey. About the Position: We are looking for scientists with a background in genetics, molecular biology, oncology or related areas with some exposure to omics data (genomics, proteomics, transcriptomics etc). The role involves: Curating omics data and associated metadata to create well harmonized datasets for analysis Providing biological interpretation for results from the analysis of omics data Reading scientific papers, critically assessing results and summarizing them. Job Requirements and Required Skills: MSc/MTech/BTech in biological science with a good academic record (in the range of 80% or above score). 1-5 years of experience in the field of interpretation and reporting NGS data and curation of biological science-based data. Good knowledge of genetics, molecular biology, usage of clinical databases, scoping and understanding of scientific literature. Having good exposure to molecular biology from recognized places (e.g. BITS Pilani, CCMB, IISc, IIT, NCBS or any other nationally or internationally recognized university/institute). Good scientific writing skill (reports and/or manuscripts). Good presentation skills We offer: An innovative and open culture in a truly multicultural environment An opportunity to make a fundamental impact on human health Vibrant multidisciplinary scientific interaction and learning opportunity A collaborative and solution-oriented environment where you can make a difference A competitive salary and generous benefits Show more Show less

About Strand Life Sciences: Strand is a 24 year old spin off from the Indian Institute of Science. We are a cutting edge Genomics company with a global customer base. We build applications that use DNA sequencing to improve human health. In the process, we build algorithms, data pipelines and visualizations to handle large amounts of sequence data. We anticipate that in the next few years, hundreds of millions of individuals will have their DNA sequenced, and invite you to join us in this transformative journey. About the Position: We are looking for scientists with a background in genetics, molecular biology, oncology or related areas with some exposure to omics data (genomics, proteomics, transcriptomics etc). The role involves: Curating omics data and associated metadata to create well harmonized datasets for analysis Providing biological interpretation for results from the analysis of omics data Reading scientific papers, critically assessing results and summarizing them. Job Requirements and Required Skills: MSc/MTech/BTech in biological science with a good academic record (in the range of 80% or above score). 1-5 years of experience in the field of interpretation and reporting NGS data and curation of biological science-based data. Good knowledge of genetics, molecular biology, usage of clinical databases, scoping and understanding of scientific literature. Having good exposure to molecular biology from recognized places (e.g. BITS Pilani, CCMB, IISc, IIT, NCBS or any other nationally or internationally recognized university/institute). Good scientific writing skill (reports and/or manuscripts). Good presentation skills We offer: An innovative and open culture in a truly multicultural environment An opportunity to make a fundamental impact on human health Vibrant multidisciplinary scientific interaction and learning opportunity A collaborative and solution-oriented environment where you can make a difference A competitive salary and generous benefits

Job Title: Senior Bioinformatician GCL: D2 Introduction to role Are you ready to tackle some of the most challenging informatics problems in the drug discovery clinical trial phase? Join us as a Senior Bioinformatician and be part of a team that is redefining healthcare. Your work will directly impact millions of patients by advancing the standard of drug discovery through data processing, analysis, and algorithm development. Collaborate with informaticians, data scientists, and engineers to deliver ground breaking solutions that drive scientific insights and improve the quality of candidate drugs. Are you up for the challenge? Accountabilities Collaborate with scientific colleagues across AstraZeneca to ensure informatics and advanced analytics solutions meet R&D needs. Develop and deliver informatics solutions using agile methodologies, including pipelining approaches and algorithm development. Contribute to multi-omics drug projects with downstream analysis and data analytics. Create, benchmark, and deploy scalable data workflows for genome assembly, variant calling, annotation, and more. Implement CI/CD practices for pipeline development across cloud-based and HPC environments. Apply cloud computing platforms like AWS for pipeline execution and data storage. Explore opportunities to apply AI & ML in informatics. Engage with external peers and software providers to apply the latest methods to business problems. Work closely with data scientists and platform teams to deliver scientific insights. Collaborate with informatics colleagues in our Global Innovation and Technology Centre. Essential Skills/Experience Masters/PhD (or equivalent) in Bioinformatics, Computational Biology, AI/ML, Genomics, Systems Biology, Biomedical Informatics, or related field with a demonstrable record of informatics and Image analysis delivery in a biopharmaceutical setting. Strong coding and software engineering skills such as Python, R, Scripting, Nextflow. Over 6 years of experience in Image analysis/bioinformatics, with a focus on Image/NGS data analysis and Nextflow (DSL2) pipeline development. Proficiency in cloud platforms preferably AWS (e.g. S3, EC2, Batch, EBS, EFS etc) and containerization tools (Docker, Singularity). Experience with workflow management tools and CI/CD practices in Image analysis and bioinformatics (Git, GitHub, GitLab), HPC in AWS. Experience in working with any multi-omics analysis (Transcriptomics, single cell and CRISPR etc ) or Image data (DICOM, WSI etc) analysis. Experience working with any Omics tools and databases such as NCBI, PubMED, UCSC genome databrowser, bedtools, samtools, Picard or imaging relevant tools such as CellProfiler, HALO, VisioPharm particularly in digital pathology and biomarker research. Strong communication skills, with the ability to collaborate effectively with team members and partners to achieve objectives. Desirable Skills/Experience Experience in Omics or Imaging data analysis in a Biopharmaceutical setting. Knowledge of Dockers, Kubernetes for container orchestration. Experience with other workflow management systems, such as (e.g. Apache Airflow, Nextflow, Cromwell, AWS StepFunctions). Familiarity with web-based bioinformatics tools (e.g., RShiny, Jupyter). Experience with working in GxP-validated environments. Experience administering and optimising a HPC job scheduler (e.g. SLURM). Experience with configuration automation and infrastructure as code (e.g. Ansible, Hashicorp Terraform, AWS CloudFormation, Amazon Cloud Developer Kit). Experience deploying infrastructure and code to public cloud, especially AWS. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are driven by a shared purpose to push the boundaries of science and develop life-changing medicines. Our innovative approach combines ground breaking science with leading digital technology platforms to empower our teams to perform at their best. We foster an environment where you can explore new solutions and experiment with groundbreaking technology. With countless opportunities for learning and growth, you'll be part of a diverse team that works multi-functionally to make a meaningful impact on patients' lives. Ready to make a difference? Apply now to join our team as a Senior Bioinformatician! Date Posted 02-Jul-2025 Closing Date 30-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Join Our Team as an R&D Manager – Drive Innovation at BioGenex and OmicsVeu! Company: BioGenex and OmicsVeu Location: Hyderabad, India Job Type: Full-Time, On-site About Us: BioGenex and OmicsVeu are leaders in advanced molecular pathology, spatial biology, and precision oncology. Our ground-breaking automated solutions empower laboratories worldwide, enabling superior diagnostics and accelerating transformative research discoveries. Position Overview: We are seeking a dynamic and innovative R&D Manager to lead our research and development efforts. This role is highly hands-on, providing an opportunity to directly contribute to the design, execution, and optimization of projects, from initial concept through to market launch. Key Responsibilities: Lead and actively participate in the development of novel assays, reagents, and automated systems. Design, execute, and optimize experimental protocols with strict adherence to scientific integrity and quality standards. Provide leadership, mentorship, and guidance to multidisciplinary R&D teams, fostering a culture of innovation and continuous improvement. Manage project timelines, budgets, resource allocation, and ensure alignment with company objectives. Collaborate closely with manufacturing, quality assurance, regulatory affairs, marketing, and sales teams for seamless product development and successful commercialization. Stay updated on scientific advancements, integrating new technologies and methodologies into our product portfolio. Qualifications: Ph.D. or Master's degree in Molecular Biology, Cancer Biology, Biotechnology, Bioinformatics, Biochemistry, Life Sciences, or a related discipline. Minimum of 8 years hands-on experience in research and development, including at least 3 years in a managerial or senior scientific role. Strong expertise in cancer biology, molecular pathology, bioinformatics, multiplex and multi-omics assays, spatial biology, spatial transcriptomics, immunohistochemistry (IHC), fluorescence in-situ hybridization (FISH), and related methodologies. Demonstrated ability to lead and inspire cross-functional scientific teams. Exceptional communication and interpersonal skills, with proven ability to collaborate effectively across various internal and external stakeholders. Proven track record of successfully transitioning innovative products from research to commercial markets. Why Choose BioGenex and OmicsVeu? Be part of a globally recognized leader in life science innovation. Engage in meaningful, groundbreaking scientific advancements. Thrive in a collaborative, growth-oriented professional environment. Competitive compensation package, comprehensive benefits, and strong career development opportunities. Apply Today: Join us in our mission to transform precision medicine and molecular diagnostics. Apply now and play a crucial role in shaping the future of life science innovations. #Innovation #R&D #CancerBiology #Bioinformatics #MolecularPathology #SpatialBiology #LifeSciences #HiringNow

Launching Batch-2 ( After grand success of Ongoing Batch-1) Internship Opportunity at Nanofludiks Research Pvt Ltd (JNU Incubated) for UG/PG Students (B.Tech/M.Tech/B.Sc./M.Sc.)! Theme: OMICSCODE 2.O Internship: Exploring Bioinformatics through Python, Transcriptomics, Single Cell & Metagenomics Apply here: https://forms.gle/tPf3v8DjyQM71hWQ9 ( It is a 1 Month Training by Eminent faculties experts in Industry & Academia) Fees- Rs.5000/- You will receive 1 Month Internship certificate upon successful completion. ABOUT NANOFLUDIKS RESEARCH PVT LTD Nanofludiks Research Pvt Ltd is a cutting-edge biotechnology company incubated at Jawaharlal Nehru University (JNU), New Delhi — one of India’s premier research institutions. It is a JNU spinoff founded under the Atal Incubation Centre – JNU Foundation for Innovation (AIC-JNUFI), a government-supported initiative launched in May 2019 under the Atal Innovation Mission – NITI Aayog. Nanofludiks is among the select 18 biotech-focused companies nurtured within AIC-JNUFI’s vibrant academic–entrepreneurial ecosystem. The company has developed ICLR (Indian Clinical and Life Sciences Research) — a cloud-based biological data analytics platform with applications in healthcare, infectious disease research, and vaccine/drug development. Highlights: Hands-on training in Python, RNA-Seq, Single Cell Analysis & Metagenomics One-to-one mentorship by scientists and industry experts Research publication opportunity (for selected projects) Official Internship Certificate and Letter of Recommendation for outstanding performers Duration: August 16th – September 13th, 2025 Who can apply: Undergraduate/Postgraduate students in Life Sciences, Biotechnology, Microbiology, and related fields. Application Deadline: 10th August, 2025 Seats: 20 (Merit-based and first-come-first-served) Apply here: https://forms.gle/tPf3v8DjyQM71hWQ9 For any queries, contact: nanofludiksresearch@gmail.com / Phone: 9818625731 Nanofludiks Greater Noida Centre- G4, Block-F, Surajpur Industrial Area, Site-4, Greater Noida, 201308 ( Near Venice Mall) www.nanofludiks.com

As a Principal Scientist within the Preclinical Safety (PCS) Pathology Team at Novartis, you will play a crucial role in advancing translational safety omics data analysis to support innovative drug discovery and development efforts. Your responsibilities will involve collaborating closely with pathologists, bench scientists, and subject matter experts across different Novartis sites such as the USA and Switzerland. Your expertise in omics-based data science and your dedication to enhancing multimodal data analysis in translational drug safety will be key to success in this role. Your day-to-day tasks will include using machine learning and statistical methods to analyze spatial transcriptomics and spatial proteomics data from raw reads, comparing and contrasting different omics data sets, conducting multimodal analysis with other data modalities, and supporting various projects with data science expertise in fields like gene and cell therapy, target discovery, genetics, drug safety, and compound screening. Additionally, you will be expected to innovate by leveraging Data Science and Artificial Intelligence to solve problems effectively, communicate regularly with stakeholders, evaluate new technologies and scientific software, and independently identify and apply research articles to business problems. To qualify for this position, you should hold a Master's or Ph.D. in Data Science, Computational Biology, Bioinformatics, or a related discipline. You must be proficient in programming languages and data science workflows such as Python, R, Git, UNIX command line, and high-performance computing clusters. A minimum of 5 years of experience in analyzing large biological datasets in a drug discovery/development or academic setting is required, along with proven expertise in exploratory data analysis, statistical inference, and machine learning algorithms. Your collaborative mindset, exceptional communication skills, and ability to work in an agile environment will be essential for success in this role. Novartis is a company dedicated to improving and extending people's lives, with a strong belief in the power of medical science and digital innovation. The organization values diversity, equity, and inclusion, fostering an environment that encourages new ways of working and collaboration. By joining Novartis, you will have the opportunity to work in an unbossed culture that promotes integrity, curiosity, and flexibility, allowing you to tackle challenging medical problems with courage and ambition. Novartis is committed to creating an inclusive work environment that reflects the diversity of the patients and communities it serves. If you are interested in exploring career opportunities at Novartis, you can join the Novartis Network to stay connected and receive updates on future roles that align with your goals. Novartis offers a range of benefits and rewards to support your personal and professional growth. To learn more about the opportunities available and the company's commitment to helping you thrive, you can refer to the Novartis handbook on benefits and rewards.,

Job title: AI/ML Data Scientist Location: Hyderabad About The Job Transform healthcare through innovation. At Sanofi, we're not just developing treatments—we're pioneering the future of healthcare by harnessing the power of data insights and responsible AI to accelerate breakthrough therapies. As an AI/ML Scientist on our AI and Computational Sciences team, you'll: Drive innovation that directly impacts patient outcomes Collaborate with world-class scientists to solve complex healthcare challenges Apply advanced AI techniques to increase drug development success rates Shape the responsible use of AI in life-saving medical research Be part of a mission that matters. Help us transform data into life-changing treatments and join a team where your expertise can make a meaningful difference in patients' lives. Our Team The AI and Computational Sciences team is a key team within R&D Digital, focused on image, omics, wearable sensor data, and clinical data analytics. This team plays a critical role in bridging the gap between general purposed digital products and specific project needs. We are looking for a skilled AI/ML Data Scientist to join our elite AI and Computational Sciences team and harness cutting-edge AI to revolutionize healthcare. As a key player within R&D Digital, you'll transform complex data into life-changing medical breakthroughs. Impact You'll Make Drive Innovation Across Multiple High-impact Domains Precision Medicine: Develop patient response prediction models that personalize treatments Advanced Omics Analysis: Pioneer cell type and cell stage quantification techniques Advanced Image/Video Analysis: Lead application of state-of-art computer vision methods for gaining unprecedented insights about drug efficacy from medical images/videos Digital Health: Design novel biomarkers from wearable sensor data Biological Insights: Create enzyme property prediction algorithms and conduct disease pathway analyses Your Growth Journey Technical Mastery: Develop expertise across image analysis, time series modeling, GenAI, AI Agents, and explainable AI Scientific Impact: Publish in top-tier AI/ML journals and secure patents that protect groundbreaking innovations Global Influence: Deploy solutions that impact patients worldwide Your Environment Elite Team: Work alongside AI/ML experts and drug development experts in an agile, high-performance environment Cutting-Edge Resources: Access Sanofi's state-of-the-art cloud infrastructure and data platforms Continuous Learning: Receive mentorship and training opportunities to sharpen your leadership and AI/ML skills Join Our AI-First Vision Be part of Sanofi's bold transformation into an AI-first organization where you'll: Develop your skills through world-class mentorship and training Chase the miracles of science to improve people's lives Ready to transform healthcare through the power of AI? Main Responsibilities Research Phase Excellence Design and implement AI models for target identification and validation using multi-omics data (genomics, proteomics, transcriptomics) Develop predictive algorithms to molecular design for compound selection and accelerate lead optimization Create computer vision systems for high-throughput screening image analysis and cellular phenotyping Clinical Development Innovation Engineer digital biomarkers from wearable sensors and mobile devices to enable objective, continuous patient monitoring Implement advanced time-series analysis of real-time patient data to detect early efficacy signals Design AI-powered patient stratification models to identify responder populations and optimize trial design Multi-Modal Data Integration Architect systems that harmonize diverse data types (imaging, omics, clinical, text, sensor) into unified analytical frameworks Develop novel feature extraction techniques across modalities to enhance predictive power Create visualization tools that present complex multi-modal insights to clinical teams Scientific Impact Collaborate with cross-functional teams to translate AI insights into actionable drug development strategies Present findings to scientific and business stakeholders with varying technical backgrounds Publish innovative methodologies in top-tier scientific and AI/ML journals Contribute to patent applications to protect novel AI/ML approaches About You Experience : 3 to 5 years of experience in AI/ML and computational model development on multimodal data like omics, biomedical imaging, text and clinical trials data Key Functional Requirement Demonstrated track record of successful AI/ML project implementation 3-5 years of experience in computational modeling or AI/ML algorithm development, or any other related field Deep understanding and proven track record of developing model training pipelines and workflows Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Technical Skills Programming Proficiency: Advanced Python skills with experience in ML frameworks (PyTorch, TensorFlow, JAX) Machine Learning: Deep expertise in supervised, unsupervised, and reinforcement learning algorithms Drug discovery: molecular design, docking, binding site prediction, mRNA vaccine design, ADMET property, protein structure prediction, molecular dynamics simulation Deep Learning: Experience designing and implementing neural network architectures (CNNs, RNNs, Transformers) Computer Vision: Proficiency in image processing, segmentation, and object detection techniques (SAM, ViT, Diffusion Models, MediaPipe, MMPose, MonoDepth, VoxelNet, SlowFast, C3D) Natural Language Processing: Experience with large language models, text mining, and information extraction (OpenAI, Claude, Llama, Qwen, Deepseek model series) Time Series Analysis: Expertise in analyzing temporal data from sensors and wearable devices (HAR foundation models, compliance detection models) Omics Analysis: Knowledge of computational methods for protein genomics, proteomics, or transcriptomics data Cloud Computing: Experience deploying ML models on cloud platforms (AWS) Tools And Technologies Data Processing: Experience with data pipelines and ETL processes Version Control: Proficiency with Git and collaborative development workflows, Docker MLOps: Experience with model deployment, monitoring, and maintenance Visualization: Ability to create compelling data visualizations (Matplotlib, Seaborn, Plotly) Experiment Tracking: Familiarity with tools like MLflow, Weights & Biases, or similar platforms Soft Skills Strong scientific communication abilities for technical and non-technical audiences Collaborative mindset for cross-functional team environments Problem-solving approach with ability to translate business needs into technical solutions Self-motivated with capacity to work independently and drive projects forward Education : PhD/MS/BE/BTech/ME/MTech in Computer Science and Engineering, AI/ML, other relevant engineering discipline, Computational Biology, Data Science, Bioinformatics or related fields (with equivalent experience) Preferred : Publications or public github Languages : English Why Choose us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Scientific Business Analyst (Specialist) – R&D Omics What You Will Do Let’s do this. Let’s change the world. This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements software and infrastructure that enables the capture, analysis, storage, and report of pre-clinical and clinical omics (genomics, proteomics, transcriptomics etc.) data. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentation, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: PhD with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Master’s degree with 4 - 6 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 6 - 8 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Diploma with 9+ years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field Preferred Qualifications: 4+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Expertise in Omics data (Genomics, Proteomics, Transcriptomics etc.), oncology data Experience with bioinformatics tools and research workflows used to manage omics data Good understanding of database technology (e.g. RDBMS, Databricks) Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with cloud (e.g. AWS) and on-premise infrastructure Good-to-Have Skills: Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Knowledge of handling GxP data and system validation (i.e. GCP) Understanding of AI and machine learning for drug discovery research and preclinical development In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience managing vendors, licenses in support of a Product team Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with platforms such as Benchling, or other LIMS Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.