Senior Data Scientist – Surfaceome Biology
By Admin · Data Science, Analytics & AI
ROLE OVERVIEW
Amgen's Bioinformatics Technologies group, part of the ARIA (Automation, Research Data Systems, Informatics, and AI) organization, is building the computational foundation for next-generation targeted and multispecific therapeutics. This Senior Data Scientist – Surfaceome Biology role sits at the precise intersection of AI/ML engineering and cell-surface biology, where systematic characterization of the surfaceome drives antigen discovery, protein density quantification, and internalization modelling. For a computational biologist based in India, this is a rare opportunity to work inside a global pharma discovery engine rather than a service vendor, shaping atlases and predictive models that directly nominate therapeutic candidates. The position delivers deep exposure to multi-omics integration, generative modelling, agentic AI and translational validation design, with a clear pathway into principal scientist or computational discovery leadership tracks.
ROLE DEFINITION & RESPONSIBILITIES
- •Develop novel AI/ML, computational and agentic data-science methods to integrate transcriptomics, proteomics, imaging and single-cell multi-omics datasets for surface antigen discovery.
- •Build scalable harmonization workflows that merge public and internal datasets into comprehensive multi-modal surfaceome atlases and expression-heterogeneity models.
- •Design predictive models of protein localization, membrane topology and internalization behaviour to prioritize candidate surface proteins and antigen–ligand pairs.
- •Apply generative modelling and representation learning to propose novel antigens or antigen combinations with favourable accessibility, specificity and internalization profiles.
- •Partner with experimental and translational scientists to design validation experiments that convert computational predictions into actionable biological insight.
- •Implement production-grade analytical pipelines on cloud infrastructure using Python/R, version control, continuous integration and test-driven development practices.
- •Communicate findings through publications, internal reports and cross-functional presentations to discovery, bioinformatics and therapeutic-area stakeholders.
- •Champion FAIR data principles and digital innovation standards across the ARIA informatics community.
QUALIFICATIONS & REQUIREMENTS
REQUIRED QUALIFICATIONS
- Any degree, with BSc/BTech/MSc/MTech/PhD preferred in Computational Biology, Bioinformatics, Biophysics, Statistics or a related quantitative life-science discipline.
- 8–13 years of directly related experience applying computational and data science methods within a life-sciences, biotechnology or pharmaceutical environment.
- Demonstrated expertise in short- and long-read transcriptomics, polysome sequencing, proteomics, multi-omics integration or surfaceome characterization.
- Proven track record of driving target validation, biomarker discovery or therapeutic hypothesis generation through computational analysis.
- Evidence of scientific impact via peer-reviewed publications, patents or widely adopted open-source tools.
- Strong command of scientific programming in Python and/or R, including relevant machine learning, statistics and visualization libraries.
PREFERRED QUALIFICATIONS
- •In silico modeling of cell surface protein biology
- •Model pre-training, fine-tuning and few-/zero-shot learning
- •Monoclonal and multispecific antibody discovery knowledge
- •Spatial transcriptomics and imaging-based data analysis
- •Software engineering best practices (Git, CI/CD, Test-Driven Development)
REQUIRED VERIFIED SKILLS
COMPENSATION & REWARDS
ORGANIZATION CONTEXT & CULTURE
Amgen is a leading global biopharmaceutical company committed to unlocking the potential of biology for patients suffering from serious illnesses. It discovers, develops, manufactures, and delivers innovative human therapeutics, focusing on areas with high unmet medical needs such as oncology, cardiovascular disease, bone disease, and inflammatory diseases.
EXPECTED CAREER ROADMAP
APPLICATION ADVISORY
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