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Associate Director, Computational Biology, Precision Medicine

Amgen
Amgen
16+ years
₹1 Cr – ₹1.6 Cr
Hyderabad
10 March 16, 2026
Job Description
Job Type: Full Time Education: PhD/B.Com/ BBA/ MBA/ M.Com/ B.Sc/ M.Sc/ B.Tech/ M.Tech/ BE/ ME and All Graduats Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Associate Director – Computational Biology, Precision Medicine

Company: Amgen
Location: Hyderabad, Telangana, India
Job Type: Full-Time | On-Site
Experience: 16+ Years (Computational Biology / Bioinformatics / Precision Medicine)
Qualification: PhD (Preferred) or Master’s in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline
Approx Salary: ₹1 Cr – ₹1.6 Cr


Job Overview

Amgen is hiring an Associate Director – Computational Biology, Precision Medicine to build and lead the Computational Biology and Translational Analytics team at its Hyderabad innovation center.

This leadership role will focus on scaling computational biology capabilities, enabling translational analytics across global clinical programs, and integrating advanced AI-driven analytical platforms to accelerate drug development.

The position will work closely with global teams across Oncology, Inflammation, Rare Diseases, Cardiovascular & Metabolic, and Obesity research programs.


Key Responsibilities

1. Team & Capability Development

  • Establish and scale the Computational Biology team in Hyderabad.

  • Develop hiring strategy, onboarding processes, and team culture.

  • Build multidisciplinary teams across:

    • Data engineering

    • Bioinformatics and AI engineering

    • Computational biology data science

    • Biomarker analysis

  • Maintain strong alignment with global precision medicine teams.


2. Scientific & Translational Leadership

  • Lead translational and reverse-translational analytics across clinical trials.

  • Guide biomarker scientists on:

    • Study design and statistical modeling

    • Biomarker interpretation

    • Patient stratification strategies

    • Mechanism-of-action insights

  • Ensure analytics align with clinical development goals and regulatory expectations.


3. Data Platform & AI Strategy

  • Deliver analysis-ready multi-omics and biomarker datasets across clinical programs.

  • Build scalable analytics platforms for:

    • Genomics and transcriptomics

    • Proteomics and metabolomics

    • Spatial and imaging-derived biomarker data

  • Lead adoption of machine learning, generative AI, and agent-based analytical workflows.


4. Data Engineering & Infrastructure Oversight

  • Partner with data engineering teams to implement:

    • Scalable ETL pipelines

    • Data quality frameworks

    • FAIR data and metadata standards

  • Ensure compliance with regulated clinical research environments (GxP standards).


5. Cross-Functional Leadership

  • Collaborate with clinicians, biomarker scientists, translational researchers, and data engineers.

  • Communicate analytical insights to executive leadership and governance boards.

  • Represent Hyderabad computational biology capabilities in global strategy discussions.


Required Skills

Technical Expertise

  • Deep experience in computational biology, bioinformatics, and multi-omics analytics

  • Strong understanding of clinical biomarker data and translational research workflows

  • Knowledge of machine learning and AI applications in biomedical research

  • Experience with cloud computing or HPC environments

Leadership Skills

  • Proven experience building and managing multidisciplinary scientific teams

  • Experience leading large-scale global scientific initiatives

  • Strong stakeholder management and cross-functional collaboration abilities


Preferred Qualifications

  • Experience building global capability centers or R&D teams in India

  • Expertise in single-cell genomics, spatial omics, and multi-omics data integration

  • Experience deploying AI-driven biomedical analytics platforms

  • Familiarity with responsible AI governance and regulated clinical research environments


Key Competencies

  • Precision medicine analytics and translational science

  • Multi-omics data integration and biomarker development

  • AI-driven data science platforms in healthcare

  • Leadership of global computational biology teams

  • Strategic decision-making in drug development


About the Company

Amgen is one of the world’s leading biotechnology companies focused on developing innovative medicines for serious diseases. By combining advanced biology, data science, and precision medicine, Amgen accelerates discovery and delivers transformative therapies to patients globally.