Senior Data Scientist – Perturbation Biology & AI
Amgen (company site, opens in a new tab)8–13 yrsHyderabadOn-siteDirect career pageEst. 30–55 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and apply advanced computational and AI/ML methods to analyze perturbation screening data for target and therapeutic discovery.
- Support high-throughput single-cell perturbation experiments to identify gene–phenotype relationships and prioritize validation hits.
- Collaborate with experimental teams to ensure computational predictions translate into actionable target and biomarker hypotheses.
Minimum Requirements
- Degree required with 8-13 years of directly related experience.
- Strong background in machine learning and AI including deep learning and generative modeling.
- Proficiency in scientific programming languages such as Python or R with experience in relevant libraries and frameworks.
- Experience with large-scale data processing, cloud computing, and software best practices (version control, continuous integration).
Ideal Candidate Profile
- Expertise in computational biology with method development experience in functional genomics and perturbation screens, preferably single-cell omics.
- Experience applying computational methods to drive biological insights, target validation, or biomarker discovery in therapeutic contexts.
- Ability to collaborate cross-functionally and communicate complex data insights clearly to diverse audiences.