Senior Data Scientist – Computational Biology
Company: Amgen
Location: Hyderabad, Telangana, India
Job Type: Full-Time | On-Site
Experience: 8+ Years (Computational Biology / Data Science / Bioinformatics)
Qualification: PhD / Master’s in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science, or related quantitative field
Approx Salary: ₹45 LPA – ₹80 LPA
Job Overview
Amgen is hiring a Senior Data Scientist – Computational Biology to develop advanced analytical and AI-driven models for clinical trial data analysis and translational research.
The role sits at the intersection of computational biology, machine learning, and clinical development, focusing on biomarker modeling, multi-omic data integration, and AI-enabled analytics to support precision medicine and drug development strategies.
Key Responsibilities
1. Advanced Modeling & Translational Analytics
Develop predictive and prognostic biomarker models using clinical trial and biomarker datasets.
Apply multi-omic integration frameworks to analyze genomics, transcriptomics, proteomics, epigenomics, imaging, and clinical data.
Implement statistical approaches including survival analysis, longitudinal modeling, mixed-effects models, and confounder adjustments.
Support cross-study analyses to inform patient stratification, mechanism of action, and treatment response.
2. Machine Learning & AI Applications
Build and validate machine learning, deep learning, and causal inference models for biomedical datasets.
Contribute to AI-enabled analytical platforms, including:
Large language model (LLM)–based scientific workflows
Generative AI models for hypothesis generation and simulation
AI agents for automated analytics and decision support
Collaborate with engineering teams to ensure models are scalable, reproducible, and production-ready.
3. Multi-Omics & Data Integration
Analyze complex biological datasets from multiple data modalities.
Perform data preprocessing, feature engineering, integration, and modeling for translational research.
Ensure models provide scientifically interpretable insights for clinical and research teams.
4. Cross-Functional Collaboration
Work closely with biomarker scientists, clinicians, biostatisticians, and data engineers.
Translate biological questions into quantitative modeling strategies.
Present analytical insights through technical documentation, reports, and presentations.
5. Scientific Rigor & Innovation
Evaluate emerging AI and computational biology methodologies for biomedical applications.
Contribute to scientific publications, analytical frameworks, and scalable modeling pipelines.
Support innovation in precision medicine and translational research programs.
Required Skills
Technical Skills
Strong expertise in computational biology, bioinformatics, and statistical modeling
Experience with multi-omic data analysis and biomarker modeling
Proficiency in Python and R for scientific computing
Experience with machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn
Knowledge of advanced statistical modeling techniques and survival analysis
AI & Data Science Skills
Experience with generative AI and foundation models
Understanding of causal inference and predictive modeling
Ability to build scalable analytical pipelines for large biological datasets
Preferred Qualifications
Experience working with clinical trial and translational biomarker datasets
Knowledge of next-generation sequencing (NGS), transcriptomics, proteomics, and imaging data
Experience contributing to scientific publications or research code repositories
Familiarity with drug development processes and clinical research workflows
Key Competencies
Multi-omic data integration and biomarker modeling
AI-driven analytics and machine learning in healthcare
Clinical trial data analysis and translational research
Scientific communication and cross-functional collaboration
Advanced statistical modeling for biomedical datasets
About the Company
Amgen is a leading biotechnology company dedicated to developing innovative therapies for serious diseases. With more than 40 years of scientific leadership, Amgen combines biological research, advanced analytics, and genetic science to accelerate drug discovery and improve patient outcomes.
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