Scientist – Research Computational Biology

ROLE OVERVIEW
Amgen's ARIA Computational Biology team in Hyderabad sits at the intersection of large-scale data science and disease biology, and this Scientist role is central to how the company replenishes its therapeutic pipeline. Rather than supporting discovery from the periphery, the position directly shapes which targets advance into Amgen's oncology, inflammation and immunology portfolios. The scientist mines multi-modal omics and screening data to characterise disease endotypes, test therapeutic hypotheses and surface novel targets, while building reusable platforms that make those insights scalable across therapeutic modalities. For an experienced computational biologist, this is a rare chance to work on foundational target biology with a global biotech leader, applying long-read transcriptomics, single-cell atlases and transcriptional foundation models inside a genuinely cross-functional research environment with strong scientific visibility.
ROLE DEFINITION & RESPONSIBILITIES
- •Analyse multi-modal omics, single-cell and screening datasets to characterise disease endotypes, mechanisms of action and novel therapeutic targets.
- •Design and execute holistic computational strategies for target identification, prioritisation and validation across oncology and inflammatory disease.
- •Develop methods and platforms that deliver foundational target insights, including expression biodistribution and RNA/protein isoform complexity.
- •Apply long-read transcriptomics, proteomics and screening technologies to discover disease-enriched isoforms.
- •Partner with data science and information systems teams to embed ARIA tools into Amgen's integrated R&D platforms.
- •Build and maintain reproducible pipelines, interactive portals and workflow management systems for research stakeholders.
- •Present complex findings to cross-functional scientific audiences and influence target portfolio decisions.
- •Mentor peers, review code and contribute to collaborative engineering and analytical standards.
QUALIFICATIONS & REQUIREMENTS
REQUIRED QUALIFICATIONS
- Ph.D. in computational biology, bioinformatics, data science or a related discipline; Master's degree acceptable with 3+ years of relevant research experience.
- Demonstrated expertise in analysing and interpreting single-cell omics data, including scRNA-seq, spatial and multi-omics modalities.
- Strong programming in Python and R plus Linux/Unix fluency; comfort with Git and collaborative coding practices.
- Hands-on familiarity with cloud computing environments and high-performance computing (HPC) infrastructure.
- Proven record of designing and executing computational strategies that answer challenging biological research questions.
- Excellent presentation and written communication skills for diverse scientific audiences.
- Self-starter mindset with a collaborative, growth-oriented approach to cross-functional research.
PREFERRED QUALIFICATIONS
- •Immunology / Immuno-Oncology Background
- •DepMap, TCGA, GTEx & Human Cell Atlas
- •RShiny Interactive Portal Development
- •Nextflow Workflow Orchestration
- •Agentic AI Frameworks
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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