Amgen - Data Scientist - Computational Biology Data

Role Summary:

The AIN-based Computational Biology Data Scientist will design, implement, and advance advanced analytical and AI-driven frameworks to enable translational and reverse-translational insights from clinical trial data across Amgens global development portfolio. This role sits at the intersection of computational biology, advanced statistics, and modern machine learning, with a strong emphasis on predictive and prognostic biomarker modeling, multi-omic data integration, and next-generation AI-enabled analytical platforms.

The successful candidate will contribute intellectually and technically to Amgens precision medicine strategy by developing rigorous, scalable, and scientifically interpretable models that link molecular, cellular, and clinical phenotypes to disease stratification, efficacy, safety, and adverse event outcomes.

Key Responsibilities:

1. Advanced Modeling & Translational Analytics:

- Design and implement predictive and prognostic biomarker models using clinical trial and biomarker data.

- Develop and apply multi-omic integration frameworks to jointly analyze genomics, transcriptomics, proteomics, epigenomics, imaging, and clinical covariates.

- Apply advanced statistical methodologies relevant to clinical development.

- Contribute to study-level and cross-program analyses that inform mechanism of action and patient selection strategies.

2. Machine Learning, AI & Emerging Capabilities:

- Build and evaluate machine learning, deep learning and causal inference models applied to biological and clinical data.

- Develop or meaningfully contribute to AI-enabled analytical systems, including foundation models, generative models, and agentic AI systems.

- Partner with platform and engineering teams to ensure analytical methods are reproducible, scalable, and production-ready.

3. Scientific Rigor, Collaboration & Communication:

- Translate biological and clinical questions into well-defined analytical strategies.

- Collaborate closely with biomarker scientists, clinicians, biostatisticians, and data engineers.

- Communicate complex analytical results effectively through technical documentation and presentations.

Basic Qualifications:

- Doctorate degree in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline with 1-2 years of relevant experience OR Masters degree in a quantitative discipline with 5 years of relevant experience.

- 6+ years of experience in an industry setting.

Preferred Qualifications:

- Demonstrated, hands-on experience developing statistical or machine learning models for complex, multi-modal biomedical or clinical datasets.

- Proven expertise in Python and R for scientific computing and modeling.

- Experience with modern ML/DL libraries and frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

- Demonstrated understanding of drug development and clinical trial data.

- Direct experience applying or extending generative AI, foundation models, or agentic systems for scientific use cases.

Job Details:

Location: Hyderabad, Telangana.

Job Type: Full time.

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