35 Transcriptomics Jobs

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.

Online applications are invited from eligible candidates to work as Project Associate-I under the project entitled Molecular characterization of phosphate starvation response in pearl millet (Pennisetum glaucum) sponsored by DST-SERB, purely on a temporary & contract basis at Amity University Rajasthan, Jaipur. The position available is for Project Associate-I with 01 post. Candidates must hold a Masters in Biotechnology/Biochemistry/Bioinformatics/Life Sciences or a related field with a minimum of 60% marks from a recognized university. Desirable qualifications include knowledge and work experience in Molecular Biology, as well as experience in handling and analyzing high throughput genomics and transcriptomics data. The monthly emoluments for this position are Rs. 31,000/- plus HRA for NET/GATE/National level examinations qualified candidates, or Rs. 25,000/- plus HRA for others, as per SERB Office Memorandum (O.M) No. SB/S9/Z-07/2020 dated 25-08-2020. Candidates applying for this position should not be more than 35 years of age. The initial appointment will be for 1 year or until the tenability of the project, whichever is earlier. The duration can be curtailed or extended based on performance review. Eligible candidates are required to submit self-attested soft copies of mark-sheets, certificates (from Class Xth onwards), proof of research experience/publications, and a latest CV (all combined as a single pdf.) to Dr. Naveen Malik, Assistant Professor, Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur via email (nmalik@jpr.amity.edu) by the deadline of 15th February 2023 (5:00 PM). Only the top 10-15 candidates will be called for an interview after screening. Selected candidates will be expected to work at Amity University Rajasthan, Jaipur.,

Job Category Job Type: Job Location: Salary Years of Experience: Downstream Product Manager Precision Oncology & Spatial Biology Location: Adibatla, Hyderabad, India | Full-Time | Commercial Strategy Role Benefits Competitive Salary Performance Incentives Health Benefits Generous PTO At OmicsVeu, were transforming precision oncology through cutting-edge innovations in molecular pathology, spatial biology, and spatial transcriptomics. As we expand our global footprint, were looking for a strategically minded and execution-driven Downstream Product Manager to drive the success of our commercial-stage product lines. This role is ideal for someone with strong life sciences expertise, a commercial mindset, and a digital marketing-driven approachready to turn scientific innovation into market success and enable cross-functional teams to thrive. Your Key Responsibilities Develop and execute downstream marketing strategies for launched products. Define competitive positioning, core messaging, and differentiated value propositions. Lead the development of pricing strategies, market segmentation, and customer targeting plans. Design and deliver training programs for internal sales teams, field application specialists, and customers. Create high-impact marketing collateralincluding presentations, brochures, case studies, product guides, and digital content. Equip the commercial team with battle cards, objection-handling tools, and sales enablement kits. Capture and analyze voice-of-customer insights through direct engagement with clients, KOLs, and partners. Collaborate closely with Sales, R&D, Product Development, and Clinical Affairs to align strategy and execution.

Department Hull York Medical School Salary £37,174 - £38,249 per year Grade Grade 6 Contract status Fixed term Hours of work Full-time Based at University of York campus Interview date To be confirmed. Posted Date 07/07/2025 Apply by 03/08/2025 Job Reference 14211 Documents Job Description 14211.pdf (PDF, 311.2kb) Role Description Role We are looking for an enthusiastic postdoctoral researcher with experience in immunology to lead an exciting cancer immunology project funded by York Against Cancer in the group of Professor Dimitris Lagos (https://www.hyms.ac.uk/about/people/dimitris-lagos). The project will explore how novel transcriptome features of human T lymphocytes affect their ability to survive within the tumour microenvironment and effectively kill cancer cells. The post-holder should have experience in human immunology and/or cancer immunology. The post will be a springboard for development of further skills in RNA biology and medicine and its application in cancer immunology. There will also be the opportunity to gain experience in analysis of transcriptomics data and interpretation. The project aims to discover novel molecular mechanisms driving T cell function that can be used to develop novel cancer immunotherapies. The work will be supported by available expertise in the group and a vibrant research environment in cancer research including colleagues in the Jack Birch Unit for Molecular Carcinogenesis and the Centre for Blood Research. Excellent core facilities within the York Biosciences Technology Facility offer access to cutting-edge equipment. The work will benefit by a wide network of collaborations with clinical partners, including our participation in the national immunotherapy research platform (https://www.manifest-io.org.uk), providing further opportunities for networking and career development. Applicants should be familiar with current concepts in human T cell biology and cancer immunology, including having practical experience, and an interest in gene regulation and RNA medicine. We place huge value and have a strong track record in professional development of our lab members. Support will be provided through strong mentoring, integration within the greater research community, and access to appropriate¿training opportunities. The role is available on a fixed term basis for up to 36 months. Skills, Experience & Qualification Needed A PhD in a relevant area (e.g. Human T cell biology, Cancer Immunology, Cancer Biology, Cancer RNA Biology or Medicine) Experience with in vitro models of immune function (e.g. lymphocyte differentiation, tissue organoids, etc), ideally human. Experience with molecular and cellular immunology laboratory techniques (e.g. flow cytometry, immunofluorescent staining and confocal microscopy, etc) Experience with cell culture and molecular cell biology techniques (e.g. RNA extraction, qRTPCR, gene knockdown, western blotting) Experience with interpretation and functional analysis of transcriptomics data Good communication skills, attention to detail and commitment to high quality Positive attitude to colleagues and students and a willingness to work proactively Commitment to personal development and values of equality, diversity, and inclusion Interview date: To be confirmed For informal enquiries: please contact Dimitris Lagos on dimitris.lagos@york.ac.uk The University strives to be diverse and inclusive – a place where we can ALL be ourselves. We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University. We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork

Date: 5 Jul 2025 Location: Bangalore Custom Field 1: Dedicated Centre Job Description Designation: Associate Scientist (8-I) / Senior Associate Scientist (8-II) Job Location: Bangalore Department: Discovery Technologies-Genomics 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: BBRC-Lead Discovery & Optimization is looking for a motivated bioinformatics scientist to analyse next generation sequencing data from proteomics, transcriptomics, genomics and other high dimensional data sets, and integrate the multiomics data for actionable leads. The position is embedded in team working on early targets and lead optimization. Key Responsibilities Analysis of bulk and single cell transcriptomics, genomics, proteomics, phosphoproteomics and other high dimensional datasets. Integration of multiomics data sets. Development of statistical framework for data analysis and integration. Work with multiple teams in a collaborative manner. Intepret the analyses results, and present the outcomes. Educational Qualification: M.Sc./M.Tech. Technical/functional Skills Clear understanding of concepts underlying normalization, differentiatal expression, understanding variance in high-dimensional datasets. Domonstrable experience in stastistical modelling, machine learning workflows. Sound understanding of ML algorithms and ability to apply appropriate methods. Proficiency in program skills in R and Python, preferably both. Experience with AWS/HPC environment. 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.

India - Hyderabad JOB ID: R-218685 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 28, 2025 CATEGORY: Information Systems 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 redefining your career. What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. This role requires proficiency in code development (e.g. Python, R, etc), knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc.), and traditional Business Analyst activities such as requirements gathering and coordination between various departments. Additionally, the ability to work with cross functional teams and experience in agile practices is desired. Roles & Responsibilities: Develop software to transform and handle omics data (genomics, proteomics, transcriptomics) using programming languages such as Python, Java, R. Develop data processing pipelines for large datasets in the cloud (e.g. Nextflow); integrate with other data sources where applicable Collaborate with the other engineering team members to ensure all infrastructure, applications, and services are reliable, maintainable, and well-integrated into existing platforms Gather requirements from business units and communicate to engineers via clear documentation Adhere to standard methodologies for testing and designing reusable code What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: Master’s degree and 4 to 6 years of Software Development, IT, or related field, experience OR Bachelor’s degree and 6 to 8 years of Software Development, IT, or related field, experience OR Diploma and 10 to 12 years of Software Development, IT, or related field, experience Preferred Qualifications: 2+ years of experience in Biopharma or Life sciences Functional Skills: Must-Have Skills: Proficiency in code development (Python, R), application frameworks such as Django and the software development best practices Proficient with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle) and / or Databricks Experience with command-line interface on Linux-based systems Experience with cloud computing platforms and infrastructure Experience in CI/CD and git Experience with requirements gathering and communication across multiple teams Good-to-Have Skills: Experience in RESTFul API development e.g flask, MuleSoft Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, Airflow etc) Work experience in the biotechnology or pharmaceutical industry. Experience with LIMS systems (e.g. Benchling) Experience using and adopting Agile Framework Soft Skills: Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs Collaborative with excellent communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals 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. 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. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation.

Institute of Plant and Microbial Biology Research Assistant (RA) / Postdoc (CRISPR editing project) 實驗室研究助理/博士後 (CRISPR 基因編輯專案) technology Job Description Unit Institute of Plant and Microbial Biology JobTitle Research Assistant (RA) / Postdoc (CRISPR editing project) 實驗室研究助理/博士後 (CRISPR 基因編輯專案) Work Content The lab of Ka Wai Ma is inviting application working on plant- microbiota research. The lab is using different model systems and the associated culture collection to understand the principles governing plant-microbiota homeostasis. The lab routinely uses omics techniques including amplicon sequencing, transcriptomics and reconstitution system. The lab is currently looking for a motivated candidate to work on a CRISPR editing project. The project aims to use CRISPR technology to perform gene editing on crops with subsequent phenotyping. The position is opened until filled 馬家威實驗室現誠聘研究助理/博士後，從事植物微生物相研究。本實 驗室使用不同的模型系統和相關的微生物庫進行植物微生物相重組實驗 以了解植物微生物群互動平衡機理。實驗室大量使用比如包括擴增子測 序、轉錄組學技術。本實驗室目前正在尋找助理/博士後從事 CRISPR 編輯專案。該專案旨在使用 CRISPR 技術對作物進行基因編輯，並進 行表型分析。 Qualifications Applicants are required to hold a MS degree (RA) or a PhD (postdoc) have research experience in molecular biology and CRISPR experience in the use of golden gate cloning system, Gibson working experience on monocot/crops are preferred Good command of English and preferably basic knowledge of mandarin. 申請者要求 具碩士學位 (研究助理) 或博士學位 (博士後) 具份子生物學及CRISPR基因編輯經驗，無相關經驗者不作考慮 曾使用golden gate 及 Gibson 系統者為佳 具農作物相關操作經驗者優先考慮 具英語交流書寫能力，通華語為佳 (非必要) Working Environment Operating Hours Based on Academia Sinica regulation Work Place Institute of Plant and Microbial Biology, Academia Sinica, Ka Wai Ma’s lab Treatment Academia Sinica MS degree standards: NT$44968/month or above. Academia Sinica PhD degree standards: NT$64711/month or above. Merit-based prorated 1.5-month end-of-year bonus. 依中研院碩士級助理標準，44968元/月(含) 或以上；博士標準，64711 元/月(含) 或以上。薪酬可議。考核績效後，發放 1.5 個月薪資的年終獎 金。 You will receive training to work on plant gnotobiotic system, reconstitution experiment and multiple omics techniques. 本實驗室將提供植物無菌系統、微生物相重組實驗和多體學方面的培訓 。 Reference Site https://ipmb.sinica.edu.tw/en/people/ipmb_researchers/ma-ka-wai Acceptance Method Contacts Dr. Ka Wai Ma Contact Address 台北市南港區 115201 研究院路二段128號 Contact Telephone 886 02-27871115 Email kawaim7@gate.sinica.edu.tw Required Documents Please combine your 1) CV (resume) and 2) maximum two pages personal statement describing your motivation and interest for this position as a pdf file, and send them to Ka Wai Ma. Subject of email should be KWM_2025June_YourName e.g. KWM_2025_Thomas. Please provide 3) the contacts of two references as well. Application package with a different format will not be considered. Shortlisted candidates will be invited for an interview. Position will be open until it is filled. 有意者請附上1) 履歷以及2) 兩頁為限描述你對此職位的相關經歷和興 趣，合併為單一PDF檔寄至馬家威信箱。郵件主旨為 KWM_2025June_YourName，郵件不合規格者不獲受理。申請者請提 供3) 兩名推薦人的聯絡方式。符合資格者將於稍後安排面試。 Precautions for application Date Publication Date 2025-05-21 Expiration Date 2025-08-31

Date: 20 Jun 2025 Location: Bangalore, KA, IN, 560099 Custom Field 1: Discovery Services Job Title: Bioinformatician Job Location: Bangalore About Syngene: Syngene ( www.syngeneintl.com ) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply. At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures, and SOPs, in letter and spirit Overall adherence to safe practices and procedures of oneself and the teams aligned Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times. Ensuring safety of self, teams, and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace. Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self Compliance to Syngene’ s quality standards at all times Hold self and their teams accountable for the achievement of safety goals Govern and Review safety metrics from time to time We are seeking a highly skilled and experienced computational biologist to join our team. The ideal candidate will have a proven track record in multi-omics data analysis. They will be responsible for integrative analyses and contributing to the development of novel computational approaches to uncover biological insights. Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications Master’s degree in bioinformatics. Mandatory Technical Skills Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn). Preferred Machine learning: Familiarity with AI/ML concepts Behavioral Skills Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism 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.

Job Title: Bioinformatician Job Location: Bangalore Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications: Masters degree in bioinformatics. Technical Skills Mandatory: Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn). Preferred: Machine learning: Familiarity with AI/ML concepts Behavioral Skills: Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values: All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism

Title: Bioinformatician Date: 20 Jun 2025 Job Location: Bangalore Pay Grade Year of Experience: Job Title: Bioinformatician Job Location: Bangalore About Syngene: Syngene ( www.syngeneintl.com ) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply. At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures, and SOPs, in letter and spirit Overall adherence to safe practices and procedures of oneself and the teams aligned Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times. Ensuring safety of self, teams, and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace. Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self Compliance to Syngene’ s quality standards at all times Hold self and their teams accountable for the achievement of safety goals Govern and Review safety metrics from time to time We are seeking a highly skilled and experienced computational biologist to join our team. The ideal candidate will have a proven track record in multi-omics data analysis. They will be responsible for integrative analyses and contributing to the development of novel computational approaches to uncover biological insights. Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications Master’s degree in bioinformatics. Mandatory Technical Skills Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn). Preferred Machine learning: Familiarity with AI/ML concepts Behavioral Skills Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism 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.

Institute of Plant and Microbial Biology Research Assistant (RA) / Postdoc 實驗室研究助理/博士後 申請者學須 Job Description Unit Institute of Plant and Microbial Biology JobTitle Research Assistant (RA) / Postdoc 實驗室研究助理/博士後 Work Content The lab of Ka Wai Ma is inviting application working on plant-microbiota research. The lab is using model system such as Arabidopsis thaliana and the associated culture collection to understand the principles governing plant-microbiota homeostasis. The lab routinely uses omics techniques including amplicon sequencing, transcriptomics and reconstitution system. In addition to general assistance in maintaining the bacterial culture collection, you will work on a project looking at the mechanistic basis of how bacterial microbiota members interfere with the plant immune response. The position is opened until filled 馬家威實驗室現誠聘研究助理/博士後，從事植物微生物相研究。本實驗室使用模式植物，例如阿拉伯芥和相關的微生物庫瞭解植物微生物相互動平衡機制。本實驗室大量使用多體學技術包括擴增子測序、轉錄組分析。除了協助實驗室日常工作和維護細菌微生物庫外，您還將參如 利用生化技術剖析細菌微生物群如何干擾植物免疫反應的機理基礎研究。 Qualifications Applicants are required to have research experience in molecular biology or biochemistry, and hold a MS degree (RA) or a PhD (postdoc). experience of microbiology is preferred. Good command of English and preferably basic knowledge of mandarin. 具碩士學位 (研究助理)或博士學位 (博士後)，份子生物學或生物化學科研經驗。 具微生物學經驗者優先考慮。 具基本英語交流，通華語為佳。 Working Environment Operating Hours Based on Academia Sinica regulation Work Place Institute of Plant and Microbial Biology, Academia Sinica, Ka Wai Ma’s lab Treatment Academia Sinica MS degree standards: NT$44,968/month or above. Academia Sinica PhD degree standards: NT$64,711/month or above. Merit-based prorated 1.5-month end-of-year bonus. 依中研院碩士級助理標準，44,968元/月(含) 或以上；博士標準，64,711元/月(含)。薪酬可議。考核績效後，發放 1.5 個月薪資的年終獎金。 You will receive training to work on plant gnotobiotic system, reconstitution experiment and multiple omics techniques. 本實驗室將提供植物無菌系統、微生物相重組實驗和多體學方面的培訓。 Reference Site https://ipmb.sinica.edu.tw/en/people/ipmb_researchers/ma-ka-wai Acceptance Method Contacts Dr. Ka Wai Ma Contact Address 台北市南港區 115201 研究院路二段128號 128 Sec. 2, Academia Rd, Nankang, Taipei 115201 Taiwan, R.O.C. Contact Telephone 886 02-27871115 Email kawaim7@gate.sinica.edu.tw Required Documents Please combine your 1) CV (resume) and 2) maximum two pages personal statement describing your motivation and interest for this position as a pdf file, and send them to Ka Wai Ma. Subject of email should be KWM_2025_YourName e.g. KWM_2025_Thomas. Please provide 3) the contacts of two references as well. Application package with a different format will not be considered. Shortlisted candidates will be invited for an interview. Position will be open until it is filled. 有意者請附上1) 履歷以及2) 兩頁為限描述你對此職位的相關經歷和興趣，合併為單一PDF檔寄至馬家威信箱。郵件主旨為KWM_2025_YourName，郵件不合規格者不獲受理。申請者請提供3) 兩名推薦人的聯絡方式。符合資格者將於稍後安排面試。 Precautions for application Date Publication Date 2024-12-16 Expiration Date 2025-06-30

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. Sr Associate Software Engineer - R&D Omics What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for Research Informatics and you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. This role requires proficiency in code development (e.g. Python, R, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Additionally, the ability to work with cross functional teams and experience in agile practices is desired. Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python, Java, R. Develop data processing pipelines for large datasets in the cloud (e.g. Nextflow); integrate with other data sources where applicable Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms Adhere to best practices for testing and designing reusable code What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Master’s degree and 1 to 3 years of in Software Development, IT, or related field, OR Bachelor’s degree and 3 to 5 years of in Software Development, IT, or related field, OR Diploma and 7 to 9 years of in Software Development, IT, or related field. Preferred Qualifications: 2+ years of experience in biopharma or life sciences Experience in RESTFul API development e.g flask, MuleSoft Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc) Experience with Databricks Experience with cloud computing platforms and infrastructure Experience with Application development (Django, RShiny, Ploty Dash, etc) Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Agile Framework Soft Skills: Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs Collaborative with good communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. 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.

Institute of Plant and Microbial Biology Research Assistant (RA) / Postdoc 實驗室研究助理/博士後 申請者學須 Job Description Unit Institute of Plant and Microbial Biology JobTitle Research Assistant (RA) / Postdoc 實驗室研究助理/博士後 Work Content The lab of Ka Wai Ma is inviting application working on plant-microbiota research. The lab is using model system such as Arabidopsis thaliana and the associated culture collection to understand the principles governing plant-microbiota homeostasis. The lab routinely uses omics techniques including amplicon sequencing, transcriptomics and reconstitution system. In addition to general assistance in maintaining the bacterial culture collection, you will work on a project looking at the mechanistic basis of how bacterial microbiota members interfere with the plant immune response. The position is opened until filled 馬家威實驗室現誠聘研究助理/博士後，從事植物微生物相研究。本實驗室使用模式植物，例如阿拉伯芥和相關的微生物庫瞭解植物微生物相互動平衡機制。本實驗室大量使用多體學技術包括擴增子測序、轉錄組分析。除了協助實驗室日常工作和維護細菌微生物庫外，您還將參如 利用生化技術剖析細菌微生物群如何干擾植物免疫反應的機理基礎研究。 Qualifications Applicants are required to have research experience in molecular biology or biochemistry, and hold a MS degree (RA) or a PhD (postdoc). experience of microbiology is preferred. Good command of English and preferably basic knowledge of mandarin. 具碩士學位 (研究助理)或博士學位 (博士後)，份子生物學或生物化學科研經驗。 具微生物學經驗者優先考慮。 具基本英語交流，通華語為佳。 Working Environment Operating Hours Based on Academia Sinica regulation Work Place Institute of Plant and Microbial Biology, Academia Sinica, Ka Wai Ma’s lab Treatment Academia Sinica MS degree standards: NT$44,968/month or above. Academia Sinica PhD degree standards: NT$64,711/month or above. Merit-based prorated 1.5-month end-of-year bonus. 依中研院碩士級助理標準，44,968元/月(含) 或以上；博士標準，64,711元/月(含)。薪酬可議。考核績效後，發放 1.5 個月薪資的年終獎金。 You will receive training to work on plant gnotobiotic system, reconstitution experiment and multiple omics techniques. 本實驗室將提供植物無菌系統、微生物相重組實驗和多體學方面的培訓。 Reference Site https://ipmb.sinica.edu.tw/en/people/ipmb_researchers/ma-ka-wai Acceptance Method Contacts Dr. Ka Wai Ma Contact Address 台北市南港區 115201 研究院路二段128號 128 Sec. 2, Academia Rd, Nankang, Taipei 115201 Taiwan, R.O.C. Contact Telephone 886 02-27871115 Email kawaim7@gate.sinica.edu.tw Required Documents Please combine your 1) CV (resume) and 2) maximum two pages personal statement describing your motivation and interest for this position as a pdf file, and send them to Ka Wai Ma. Subject of email should be KWM_2025_YourName e.g. KWM_2025_Thomas. Please provide 3) the contacts of two references as well. Application package with a different format will not be considered. Shortlisted candidates will be invited for an interview. Position will be open until it is filled. 有意者請附上1) 履歷以及2) 兩頁為限描述你對此職位的相關經歷和興趣，合併為單一PDF檔寄至馬家威信箱。郵件主旨為KWM_2025_YourName，郵件不合規格者不獲受理。申請者請提供3) 兩名推薦人的聯絡方式。符合資格者將於稍後安排面試。 Precautions for application Date Publication Date 2024-12-16 Expiration Date 2025-06-30 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 are committed to transforming complex data into actionable insights, contributing to groundbreaking research and innovative solutions in the field of genomics. 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 seeking a dynamic and experienced professional with a hybrid background in engineering and biology to join our interdisciplinary team. The ideal candidate will bring 6-8 years of hands-on experience in biotechnology and apply their expertise to solve complex problems in bioinformatics, genomics, or computational biology. This is a cross-functional role involving collaboration with wet lab scientists, data engineers, and domain experts to drive research, innovation, and product development. Key Responsibilities: ● Design and implement data analysis pipelines for genomics, transcriptomics, or proteomics. ● Lead projects involving algorithm development, statistical modeling, or ML/AI applications in biology. ● Collaborate with biology and engineering teams to interpret results and guide experimental design. ● Curate and analyze public and proprietary biological datasets. ● Prepare scientific documentation, technical reports, and research publications. ● Mentor junior team members and contribute to strategic technology planning. Required Skills: ● Strong programming skills (Python, R, or equivalent). ● Experience with NGS data analysis, omics workflows, or bioinformatics tools. ● Solid understanding of molecular biology, genomics, and biotechnology principles. ● Familiarity with computational methods, statistics, and database management. ● Proven experience working in cross-functional research or biotech environments. Preferred Qualifications: ● B.Tech / M.Tech / M.Sc / Ph.D. in Computer Science, Electrical Engineering, Biotechnology, Bioinformatics, Physics or a related discipline with a strong foundation in Biology ● Experience with cloud-based computation (AWS, GCP, or Azure). ● Familiarity with tools like GATK, STAR, DESeq2, or scRNA-seq pipelines. ● Previous leadership in cross-disciplinary projects or biotech product development. 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

Technician Job details Posted 13 June 2025 Salary Grade4/5, £23,881 - £26,338 / £26,338 - £ 30,805 per annum End date 29 June 2025 Job Type Technical And Specialist Reference175292 Expiry 29 June 2025 at 23:45 Job Description Job Purpose To provide technical assistance and laboratory support to Professor Nigel and his group which is focussed on multiple aspects of spatial biology, in particular spatial transcriptomics, cancer immunology and personalised medicine related to Pancreatic Cancer. The Jamieson Spatial Biology group uses cutting edge spatial transcriptomics platforms (Nanostring GeoMx, NanoString CosMx, 10x Genomics VISIUM, XENIUM, stereoseq) to accelerate preclinical and clinical development of novel therapies across a spectrum of cancers. This role will support the smooth and effective running of Jamieson Spatial Biology group. The Jamieson Spatial Biology group is based at the Wolfson Wohl Cancer Research Centre, is also part of the Cancer Research UK Scotland Centre and School of Cancer Sciences (SCS). Main Duties And Responsibilities Provide technical, archival and admin support to the Jamieson Spatial Biology group within SCS. Contribute to the overall smooth and efficient running of the lab to ensure an excellent experience for service users. Carry out a range of support activities namely tissue-based laboratory work, database management and archival work. Contribute to the creation and development of new technical resources and/or ways of working as directed by relevant senior staff. Identify, propose and implement technical solutions to a range of practical problems. Keep clear and accurate records of outputs and where relevant produce concise written summaries of results for senior staff. Contribute to the safe and well-organised functioning of the laboratory. Maintain laboratory areas appropriately and identify and rectify any technical faults/problems. Ensure that consumables and equipment are appropriately stocked and maintained, preparing media and samples as required. To provide guidance to service users in the best application and operation of technical resources. Keep up to date with advances in the relevant discipline and seek to apply this knowledge to technical activities to further enhance the learning experience and/or contribute to the delivery of research aims. Where relevant, and in consultation with relevant senior staff, ensure the safe and efficient functioning of the technical work-space and facilities. This includes, but is not limited to, supporting the completion of risk assessments and COSHH assessments, ensuring that all Health and Safety paperwork is completed timeously and recorded accurately, and implementing and adhering to all applicable health and safety policies, including specialist legal procedures for certain materials. Collaborate with colleagues and participate in team meetings/discussions and contribute to the wider College/Institute/School activities as required, including the Technician Commitment key themes, https://www.gla.ac.uk/myglasgow/staff/technicians/ For appointment at Grade 5 Develop in-depth technical knowledge, solutions, and advice to service users to maximise the learning experience and/or contribute to the delivery of research objectives on a series of Spatial transcriptomic and spatial Biology platforms including the Nanostring GeoMx and Nanostring CosMx and 10x Genomic VISIUM, Stomics STEREOSEQ. Develop, create and test new equipment, systems, procedures, protocols, models and/or techniques. Diagnose faults and troubleshoot day-to-day problems carrying out appropriate maintenance as required. Design, plan and organise technical activities to meet the needs of service users within agreed timescales. Knowledge/Qualifications Knowledge, Qualifications, Skills and Experience Essential For appointment at Grade 4 A1 Scottish Credit and Qualification Framework level 5 or 6 [National 5 or National 6/Highers, Scottish Vocational Qualification level 2 or 3] or equivalent, and experience of personal development in a similar role. For appointment at Grade 5 A2 Scottish Credit and Qualification Framework level 7 [Advanced Higher / Scottish vocational Qualification level 3, Higher National Certificate] or equivalent, and experience of personal development in a similar role. Desirable For appointment at Grade 5 B1 Significant breath or depth of technical knowledge and recognised as an expert in the histology examination or tissue imaging. B2 Up to date knowledge of relevant legislative requirements applicable to the role, including but not limited to Health and Safety. Skills Essential C1 Ability to demonstrate the competencies required to undertake the duties associated with this level of post having acquired the necessary knowledge and skills in a similar role C2 Willingness and enthusiasm to learn new techniques and skills C3 Excellent time planning, organisational and project management skills C4 Good interpersonal and communication skills, both verbal and written C5 Ability to use initiative and judgement to resolve problems alone or as part of the group and meet deadlines For appointment at Grade 5 C6 Highly developed skills applicable to molecular biology techniques including immunohistochemistry, immunocytochemistry, RT-PCR, nucleic acid extraction from a variety of tissue sources including FFPE C7 Ability to impart/teach skills to a wide range of staff groups with diverse backgrounds, when required Experience E1 Experience with database management and sample archiving For appointment at Grade 5 E2 Experience with next generation sequencing pipelines Terms and Conditions Salary will be Grade 4/5, £23,881 - £26,338 / £26,338 - £30,805 per annum. This post is full time and fixed term for up to 12 months from start date. Please Note: If you are a current employee of the University of Glasgow, please be advised that the University would consider an internal secondment opportunity for this post. University of Glasgow applicants should seek clearance for release for internal secondment from their line manager before making a formal application. As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University https://www.gla.ac.uk/myglasgow/staff/healthwellbeing/. We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/. We endorse the principles of Athena Swan https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Closing date: 23:45 on Sunday 29th June 2025. Show more Show less

Institute of Plant and Microbial Biology Research Assistant (RA) / Postdoc (CRISPR editing project) 實驗室研究助理/博士後 (CRISPR 基因編輯專案) technology Job Description Unit Institute of Plant and Microbial Biology JobTitle Research Assistant (RA) / Postdoc (CRISPR editing project) 實驗室研究助理/博士後 (CRISPR 基因編輯專案) Work Content The lab of Ka Wai Ma is inviting application working on plant- microbiota research. The lab is using different model systems and the associated culture collection to understand the principles governing plant-microbiota homeostasis. The lab routinely uses omics techniques including amplicon sequencing, transcriptomics and reconstitution system. The lab is currently looking for a motivated candidate to work on a CRISPR editing project. The project aims to use CRISPR technology to perform gene editing on crops with subsequent phenotyping. The position is opened until filled 馬家威實驗室現誠聘研究助理/博士後，從事植物微生物相研究。本實 驗室使用不同的模型系統和相關的微生物庫進行植物微生物相重組實驗 以了解植物微生物群互動平衡機理。實驗室大量使用比如包括擴增子測 序、轉錄組學技術。本實驗室目前正在尋找助理/博士後從事 CRISPR 編輯專案。該專案旨在使用 CRISPR 技術對作物進行基因編輯，並進 行表型分析。 Qualifications Applicants are required to hold a MS degree (RA) or a PhD (postdoc) have research experience in molecular biology and CRISPR experience in the use of golden gate cloning system, Gibson working experience on monocot/crops are preferred Good command of English and preferably basic knowledge of mandarin. 申請者要求 具碩士學位 (研究助理) 或博士學位 (博士後) 具份子生物學及CRISPR基因編輯經驗，無相關經驗者不作考慮 曾使用golden gate 及 Gibson 系統者為佳 具農作物相關操作經驗者優先考慮 具英語交流書寫能力，通華語為佳 (非必要) Working Environment Operating Hours Based on Academia Sinica regulation Work Place Institute of Plant and Microbial Biology, Academia Sinica, Ka Wai Ma’s lab Treatment Academia Sinica MS degree standards: NT$44968/month or above. Academia Sinica PhD degree standards: NT$64711/month or above. Merit-based prorated 1.5-month end-of-year bonus. 依中研院碩士級助理標準，44968元/月(含) 或以上；博士標準，64711 元/月(含) 或以上。薪酬可議。考核績效後，發放 1.5 個月薪資的年終獎 金。 You will receive training to work on plant gnotobiotic system, reconstitution experiment and multiple omics techniques. 本實驗室將提供植物無菌系統、微生物相重組實驗和多體學方面的培訓 。 Reference Site https://ipmb.sinica.edu.tw/en/people/ipmb_researchers/ma-ka-wai Acceptance Method Contacts Dr. Ka Wai Ma Contact Address 台北市南港區 115201 研究院路二段128號 Contact Telephone 886 02-27871115 Email kawaim7@gate.sinica.edu.tw Required Documents Please combine your 1) CV (resume) and 2) maximum two pages personal statement describing your motivation and interest for this position as a pdf file, and send them to Ka Wai Ma. Subject of email should be KWM_2025June_YourName e.g. KWM_2025_Thomas. Please provide 3) the contacts of two references as well. Application package with a different format will not be considered. Shortlisted candidates will be invited for an interview. Position will be open until it is filled. 有意者請附上1) 履歷以及2) 兩頁為限描述你對此職位的相關經歷和興 趣，合併為單一PDF檔寄至馬家威信箱。郵件主旨為 KWM_2025June_YourName，郵件不合規格者不獲受理。申請者請提 供3) 兩名推薦人的聯絡方式。符合資格者將於稍後安排面試。 Precautions for application Date Publication Date 2025-05-21 Expiration Date 2025-08-31 Show more Show less

VACANCY NOTICE POSITIONS AVAILABLE AT BIOFOUNDRY, ICGEB, NEW DELHI Department of Biotechnology (DBT), Govt of India, has funded a Biofoundry project at ICGEB to perform AI-ML-guided strain engineering of yeast and E. coli . The following positions are available for the project initially for one year, which may be extended further based on the performance and the project's tenure. These are temporary project positions whose durations are only up to the tenure of the DBT-funded project. 1. Project Scientist II -(5 positions) (i) Position area – Computational Biology (PI – Dr. Dinesh Gupta) Job description: Develop and implement computational pipelines for high-throughput omics data (e.g., genomics, transcriptomics, metabolomics) Build and optimize machine learning models to guide strain design and pathway optimization Integrate multi-modal datasets into cohesive systems biology models Collaborate with wet-lab scientists to close the DBTL loop and improve biofoundry workflows Contribute to software tool/database development, and presentations Qualifications: · Essential: o PhD in Bioinformatics/Computational Biology/ Systems Biology, Computer Science, or related field. Strong programming skills (Python, R, or equivalent) o Experience with multi-omics analysis, metabolic modelling o Experience of using or developing ML/AI techniques o Experience of Structural Bioinformatics, molecular modelling and running MD simulations o Familiarity with synthetic biology concepts and genome engineering o Excellent communication and collaboration skills o Publications in the above mentioned experience areas · Desirable: o Experience of working in a biofoundry project or synthetic protein design, bioprocess optimization. o Experience of working in a HPC environment (ii) Position area – Systems Biology (PI – Dr. Shireesh Srivastava) Job description: The position involves computational design and analysis of metabolic pathways in E. coli and yeast using methods of metabolic systems biology such as Flux Balance Analysis, Computational Biology tools, and Integration of Omics data. The candidate will also be responsible for timely conduct of analyses and preparation of reports, maintenance of computers, software and databases related to the project, and participation in training activities conducted by the group. Qualifications: Ph.D. in Biotechnology, Computational Biology, Chemical Engineering or related fields. Candidate must be well versed in Windows and Linux-based operating systems and have prior experience in computational analyses. Candidates with prior knowledge of MATLAB, Metabolic modelling and analysis, Metabolic databases, COBRA toolbox, Omics data analysis will be preferred. (iii) Position area - Functional genomics (PI – Dr. Pavan Jutur) Job description: This position involves a motivated functional genomics expert to design and execute experiments unraveling gene function within our biofoundry. The role heavily involves integrating and analysing multi-omics data to optimise strain engineering, collaborating with biologists and data scientists for accelerated R&D. Qualifications: Ph.D. in Biotechnology, Life Sciences, or a related field with at least 3 years of experience is required. Mandatory experience handling microbial strains, with knowledge in omics biology. (iv) Position area – Yeast engineering (PI -Dr. Naseem Gaur) Job description: The candidate will be responsible for developing genetically engineered yeast strains as per the project requirements. This will involve synthetic biology and metabolic engineering approaches to build the customised engineered yeast strains as a chassis for biomanufacturing. Qualifications: Ph.D. in Biotechnology or related field with 3 years of experience. Candidates with a strong molecular biology background, analytical skills, and critical thinking ability will be preferred. (v) Position area – E. coli engineering (PI – Dr. Shams Yazdani) Job description: The work will involve engineering the genome of E. coli for producing various fuels and chemicals. The metabolic pathway design, synthesis, assembly and integration in the genome with the help of various genetic/genome engineering tools will be the major part of the project. Protein engineering, wherever needed, will also be involved in the project. Qualifications: Ph.D. in Biotechnology or related field with 3 years of experience. The candidate with strong molecular biology, synthetic biology, genome engineering, and metabolic engineering will be preferred. Salary – Rs 67,000 per month + HRA 2. Project Associate II (2 positions) (i) Position area – Yeast Engineering (PI – Dr. Naseem Gaur) Job description: The candidate will be responsible for executing molecular biology and biochemical experiments related to the development of genetically engineered yeast strains and the bioprocess development of engineered yeast strains for product formation. Qualifications: M.Sc./M.Tech in Biotechnology or a related field with 2 years of experience (ii) Position area – E. coli Engineering (PI – Dr. Shams Yazdani) Job description: Design and construction of pathway genes in E. coli Qualifications: M.Sc./M.Tech in Biotechnology or related field with 2 years of experience Salary – Rs 35,000 per month + HRA 3. Project Associate I (2 positions) (i) Position area – Yeast Engineering (PI - Dr. Naseem Gaur) Job description: The candidate will be responsible for executing molecular biology and biochemical experiments related to the development of genetically engineered yeast strains and the bioprocess development of engineered yeast strains for product formation. Qualifications: M.Sc./M.Tech in Biotechnology or a related field (ii) Position area – E. coli Engineering (PI - Dr. Shams Yazdani) Job description: Construction and testing the engineered E. coli for product formation via various analytical techniques. Qualifications: M.Sc./M.Tech in Biotechnology or related field Salary – Rs 31,000 per month + HRA 4. Project Manager (1 position) (PI – Dr. Ramesh Sonti) Job description: Managing the Biofoundry project Qualifications: PhD in Science or ME/MTech with 5 years of experience Salary – Rs 1,25,000 per month (Consolidated) 5. Administrative Assistant (1 position) (PI – Dr. Ramesh Sonti) Job description: Administrative support to the Biofoundry project Qualifications: BSc or BA in any discipline Salary – Rs 18,000 per month + HRA 6. Technical Manager (2 positions) (i) Position area – Yeast Engineering (Dr. Naseem Gaur) Job description: Technical support to Scientific staff members Qualifications: BSc or 3yr Diploma in Engineering & Technology (ii) Position area – E. coli engineering (Dr. Shams Yazdani) Job description: Maintaining analytical equipments Qualifications: BSc or 3yr Diploma in Engineering & Technology Salary – Rs 20,000 per month + HRA 7. Lab Assistant (1 position) (PI – Dr. Ramesh Sonti) Job description: Lab inventory maintenance, glassware/plasticware cleaning, etc Qualifications: BSc in any field Salary – Rs 20,000 per month + HRA Interested candidates should email their latest curriculum vitae and cover letter (Cover letter must mention pertinent skills) with a detailed description of relevant experience to icgeb.biofoundry@gmail.com with Subject “Application for <(name of the PI)> Position”. Only short-listed candidates will be contacted for an interview. Closing date for applications: 16 th June 2025 Show more Show less

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 Show more Show less