18 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 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

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

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

India - Hyderabad JOB ID: R-217551 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 10, 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 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 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. 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. 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. 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.

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!

Position Summary: We are seeking a highly motivated individual with expertise in computational chemistry to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve applying advanced computational methods to design, optimize, and analyze small molecules and their interactions with biological targets, contributing to drug discovery and disease modeling efforts. The successful candidate will have a PhD in computational chemistry, cheminformatics, physical chemistry, or a related field, with a deep understanding of molecular modeling, simulations, and structure-activity relationships. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. Key Responsibilities: Apply deep domain knowledge in computational chemistry to support drug discovery projects, including virtual screening, lead optimization, and ADME/Tox predictions. Utilize molecular modeling, molecular dynamics simulations, quantum mechanics, and docking techniques to understand ligand-protein interactions and predict binding affinities. Integrate chemical data with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify novel therapeutic opportunities and understand disease mechanisms. Work with a team of computational biologists and software experts to develop and apply AI/ML approaches for chemical property prediction and drug design. Stay up to date with the latest advancements in computational chemistry, cheminformatics, and AI-driven drug discovery to incorporate cutting-edge research into project efforts. Collaboration & Project Management: Work closely with cross-functional teams, including medicinal chemists, biologists, computational scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational chemistry, cheminformatics, physical chemistry, or a closely related field. Strong expertise in molecular modeling, molecular dynamics simulations, quantum mechanics, and virtual screening techniques. Solid understanding of drug discovery principles, medicinal chemistry concepts, and structure-activity relationships. Proficiency with relevant computational chemistry software (e.g., Schrödinger, OpenEye, GROMACS, Amber) and programming languages (e.g., Python, R). Excellent verbal and written communication skills, with the ability to convey complex chemical and computational concepts clearly. Preferred: Experience with large-scale chemical data analysis and cheminformatics tools. Experience applying machine learning or artificial intelligence to chemical problems. Previous experience working in a multidisciplinary research environment, especially in a biopharmaceutical setting. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational chemistry in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational chemistry and AI-driven drug discovery. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Graduation

University: French National Research Institute for Agriculture, Food, and the Environment (INRAE) Country: France Deadline: June 13, 2025 The French National Research Institute for Agriculture, Food, and the Environment (INRAE) invites applications for a postdoctoral position in synthetic biology and microbiology, as part of the TARGET Project at the UMR INRAE BFP unit in Villenave d’Ornon, France. This interdisciplinary research initiative aims to advance the cultivation of noncultivable bacteria, focusing on the plant-pathogenic Flavescence Dorée phytoplasma, and integrates approaches from microbiology, culturomics, genetic engineering, systems biology, and computational modeling. Requirements PhD in microbiology, metabolomics, systems biology, molecular biology, biochemistry, or a related discipline Experience with transcriptomics and/or LC-MS-based metabolomics Knowledge of metabolic modeling or biochemical pathway analysis is advantageous Background in microbiology, molecular biology, or bioinformatics Desirable skills include RT-qPCR, metabolic imaging, or protein expression/purification Strong analytical, organizational, and communication skills, with a collaborative approach Role And Responsibilities Develop and validate methods to distinguish phytoplasma metabolic responses from those of host organisms using transcriptomics and metabolomics Conduct targeted and untargeted metabolomics (LC-MS) to identify metabolites in infected and healthy host tissues Utilize metabolic imaging techniques (e.g., MALDI, DESI-MS) to map metabolite distributions Integrate multi-omics data to infer host-pathogen metabolic interactions Support metabolic modeling and culture medium formulation Perform biochemical analyses such as RT-qPCR, enzyme characterization, and protein expression Collaborate with bioinformaticians and contribute to scientific publications and presentations Benefits Gross monthly salary between €3,135 and €4,544, depending on experience and profile Up to 30 days of annual leave plus 15 days of reduced working time (full-time) Parenting support, skills development opportunities, social support, and leisure benefits Access to sports, cultural activities, and collective catering Application Procedure Interested candidates should submit a detailed CV, cover letter outlining research interests and motivation, and contact details for two references to Dr. Pierre Pétriacq (pierre.petriacq@inrae.fr) and Dr. Bessem Chouaia (bessem.chouaia@inrae.fr). Applications will be reviewed on a rolling basis until the position is filled. For further inquiries, please contact the supervisors at the provided email addresses. Start Date: October 1, 2025 Contract Duration: 23 months (with possible renewal for an additional 24 months) Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: phdfinder.com/register Show more Show less

Summary As a Principal Scientist I within Preclinical Safety (PCS) Pathology Team, you will be responsible for advancing translational safety omics data analysis to support innovative drug discovery & development efforts. The candidate will participate in the study design, analysis, interpretation, and presentation of the data by interacting closely with a team of pathologists, bench scientists, and subject matter experts across the sites (e.g. USA, Switzerland) of Novartis. The role requires significant omics-based data science expertise and a passion to elevate the role of multimodal data analysis in translational drug safety. About The Role Your responsibilities include, but are not limited to: Use machine learning and statistical methods for analysis of spatial transcriptomics (e.g. Visium/Nanostring platforms) and spatial proteomics data (both internal and public data) from raw reads Compare and contrast spatial omics data sets with bulk RNASeq and single cell data Multimodal analysis of omics data with other modalities such as histopathology images, clinical biomarkers, etc. Support projects with data science expertise in diverse scientific fields such as gene and cell therapy, target discovery, genetics, drug safety, compound screening, etc. Innovate by transforming the way to solve a problem using Data Science & Artificial Intelligence Communicating regularly with stakeholders and assisting with answering their questions with the data and analytics Proactively evaluate the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the Novartis data sciences approaches Independently identifies research articles and reproduce/apply methodology to Novartis business problems M.S. or PhD in Data Science, Computational Biology, Bioinformatics, or a related discipline Proficient in programming languages and data science workflows (e.g. Python, R, Git, UNIX command line, high-performance computing (HPC) clusters etc.) A minimum of 5 years of experience in analyzing large biological datasets (genomics, proteomics, and transcriptomics data analysis and data-integration) in a drug discovery/development or relevant academic setting Proven ability to implement exploratory data analysis and statistical inference in the context of scientific research A collaborative, team-focused mindset coupled with outstanding communication skills, and the ability to work in an agile environment Experience with using machine learning algorithms to extract insights from complex datasets Familiarity with the concepts of molecular biology, cell biology, genomics, biostatistics and toxicology WHY NOVARTIS 769 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives. We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working. We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying! Imagine what you could do here at Novartis! Commitment To Diversity & Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve. Join our Novartis Network : If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Job Description Position Summary: We are seeking a highly motivated Immunology/Inflammation Expert to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. This role is essential for integrating immunological and inflammatory pathways into disease models using multi-omics data. The successful candidate will have a PhD in Immunology, Inflammation Biology, or a related field, with strong expertise in immune system mechanisms, inflammation pathways, and their role in human diseases. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. Key Responsibilities: Apply deep domain knowledge in immunology and inflammation to develop and refine disease models. Integrate multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) with biological insights to understand immune and inflammatory mechanisms. Work with a team of computational biologists and software experts to bring omic data from the public domain and help develop analysis strategies Stay up to date with the latest advancements in immunology, inflammation, and systems biology to incorporate cutting-edge research into disease modeling efforts. Collaboration & Project Management: Work closely with cross-functional teams, including disease domain experts, computational scientists, and clinicians, to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in Immunology, Inflammation Biology, or a closely related field. Strong expertise in innate and adaptive immune mechanisms, inflammation pathways, and immunopathology. Solid understanding of disease biology, with the ability to contextualize immunology findings within broader disease mechanisms. Experience in experimental design, data analysis, and interpretation of immunological assays. Excellent verbal and written communication skills, with the ability to convey complex immunological concepts clearly. Preferred: Experience with omics data analysis and integration (genomics, transcriptomics, proteomics, or metabolomics). Previous experience working in a multidisciplinary research environment. Familiarity with computational biology, bioinformatics tools, or systems immunology is a plus. Postdoctoral research experience (for Scientist track applicants). Industry/academic experience in immunology/inflammation research (for Scientist track applicants). Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral or industry experience will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of immunology and inflammation research. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. 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

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

India - Hyderabad JOB ID: R-211285 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 28, 2025 CATEGORY: Information Systems Amgen’s Precision Medicine technology team is responsible for buildingData Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen’s wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These data include multiomics data (genomics, transcriptomics, proteomics, etc.), clinical study subject measurement and outcome data, images, and specimen inventory data. Our PMED data management, standardization, surfacing, and processing capabilitiesare pivotal tools in Amgen’s goal to accelerate the speed of discovery, and speed to market of advanced precision medications. The Solution and Data Architect will be responsible for the end-to-end architecture of an enterprise analytics and data mastering solution leveraging Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing enterprise solutions that research cohort-building and advanced research pipeline.The ideal candidate will have experience creating and surfacing large unifiedrepositories of human data, based on integrations from multiple repositories and solutions. You will collaborate closely with stakeholders across departments, including data engineering, business intelligence, and IT teams, to design and implement data models, integrate data from various sources, and ensure best practices for data governance and security. The ideal candidate will have a strong background in data warehousing, ETL, Databricks, Power BI, and enterprise data mastering. Roles & Responsibilities: Architect scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Support development planning by breaking down features into work that aligns with the architectural direction runway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentation of architectural direction, patterns, and standards Present and train engineers and cross-team collaborators on architecture strategy and patterns Collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing from multiple sources. Design robust data models, and processing layers, that support both analytical processing and operational reporting needs. Develop and implement best practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Provide thought leadership and strategic guidance on data architecture, advanced analytics, and data mastering best practices. Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability. Serve as a subject matter expert on Power BI and Databricks, providing technical leadership and mentoring to other teams. Collaborate with stakeholders to define data requirements, architecture specifications, and project goals. Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. Basic Qualifications and Experience: Master’s degree with 6 to 8 years of experience in data management and data solution architecture Bachelor’s degree with 8 to 10 years of experience in in data management and data solution architecture Diploma and 10 to 12 years of experience in in data management and data solution architecture Functional Skills: Must-Have Skills : Minimum of 3 years of hands-on experience with BI solutions (Preferable Power BI or Business Objects) including report development, dashboard creation, and optimization. Minimum of 7 years of hands-on experience building Change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Deep understanding of Power BI, including model design, DAX, and Power Query. Proven experience designing and implementing data mastering solutions and data governance frameworks. Expertise in cloud platforms (AWS), data lakes, and data warehouses. Strong knowledge of ETL processes, data pipelines, and integration technologies. Strong communication and collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional hands-on capabilities with data profiling, data transformation, data mastering Success in mentoring and training team members Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experience with human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications (please mention if the certification is preferred or mandatory for the role): ITIL Foundation or other relevant certifications (preferred) SAFe Agile Practitioner (6.0) Microsoft Certified: Data Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity Highest degree of initiative and self-motivation Strong verbal and written communication skills, including presentation to varied audiences of complex technical/business topics Confidence technical leader Ability to work effectively with global, virtual teams, specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources

Perform data analysis on large-scale biological datasets, including genomics, transcriptomics, and proteomics data. Develop and implement bioinformatics pipelines for data processing and interpretation. Assist in the development of scripts and software tools to automate data analysis tasks. Collaborate with researchers and scientists to interpret and visualize results. Contribute to research documentation, including reports and presentations. Stay up to date with the latest bioinformatics tools, methods, and technologies. What are we looking in you Completed a Master degree in Bioinformatics or a related field. Strong programming skills in languages such as Python, R, or Perl. Familiarity with bioinformatics tools and databases (e.g., BLAST, NCBI, Ensembl, etc.). Understanding of next-generation sequencing (NGS) data analysis. Basic knowledge of statistics and data visualization. Excellent problem-solving skills and attention to detail. Note: This is a paid internship.Skills: data visualization,ngs data analysis,bash scripting,perl,genomics,nextflow,version control tools (github),databases,human and population genetics,human genetics,nanopore analysis,linux,population genetics,pipeline orchestration tools (nextflow/snakemake),genetics,database management,ngs,r,github,python,tools for analyzing microbial genomes,statistics,bioinformatics tools,snakemake,bioinformatics,next-generation sequencing (ngs) data analysis,building,tools for analyzing human genomes Show more Show less

Excelra is currently seeking passionate and detail-oriented professionals for the role of Omics Metadata Annotation and Harmonization Specialist / Data Asset Creator / Subject Matter Expert . If you have a strong background in life sciences and a keen interest in enhancing the quality and usability of large-scale omics datasets, we would love to connect with you! About the Role: As part of our dynamic team, you will: Curate and annotate omics metadata (genomics, epigenomics, transcriptomics, proteomics). Apply controlled vocabularies and ontologies (e.g., MeSH, GO, EFO) to ensure data consistency. Harmonize metadata across diverse datasets to support integrative research. Uphold FAIR data principles to enable seamless data integration and analysis. What Were Looking For: Ph.D./M.Sc./M.Tech in Life Sciences with strong domain knowledge. Experience with molecular biology techniques and omics data interpretation. Familiarity with repositories like GEO, ArrayExpress, NCBI, and ontologies. Excellent communication, problem-solving skills, and attention to detail. Bonus Skills: Experience in metadata curation and harmonization. Knowledge of Linux, BASH scripting, R, or cloud computing. Why Excelra? At Excelra, we blend scientific expertise with cutting-edge technology to transform research data into actionable insights. Join us in driving innovation in drug discovery and development. Location: Hyderabad, Bangalore, Delhi/NCR If this opportunity excites you or someone in your network, we encourage you to apply or share this message. Looking forward to hearing from you!

Online applications are invited from the 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 temporary & contract basis at Amity University Rajasthan, Jaipur. Name of the Position & Number of Posts Project Associate-I / 01-Post Essential Qualification Master’s in Biotechnology/Biochemistry/Bioinformatics/Life Sciences or related field with = 60% marks from a recognized university Desirable Qualification Knowledge and work experience in Molecular Biology Experience in handling and analyzing high throughput genomics and transcriptomics data. Emoluments/Month Rs. 31,000/- per month plus HRA (for NET/GATE/ National level examinations qualified candidate) or Rs. 25,000/- per month plus HRA (for others) as per SERB Office Memorandum (O.M) No. SB/S9/Z-07/2020 dated 25-08-2020. Age Not more than 35 years Duration Initial appointment for 1 year or till the tenability of the project whichever is earlier and same can be curtailed/extended based on performance review. The eligible candidates may apply with self-attested soft copies of mark-sheets, certificates (from Class Xth onwards), proof of research experience/publications and latest CV (all combined as a single pdf.) to Dr. Naveen Malik, Assistant Professor, Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur by email (nmalik@jpr.amity.edu) latest by 15 th February 2023 (5:00 PM). Only top 10-15 candidates will be called for interview after screening. Note: Selected candidates will be required to work at Amity University Rajasthan, Jaipur