Amgen seeks a Senior Data Scientist to develop computational and AI/ML methods for perturbation biology and functional genomics within the ARIA organization. The role focuses on analyzing high-throughput screening data, building predictive models, and collaborating with experimental teams to accelerate therapeutic target discovery and validation.

Responsibilities

Develop advanced computational and AI/ML methods to identify therapeutic targets and elucidate mechanisms of action from perturbation data
Provide analytical support for high-throughput single-cell perturbation and phenotypic screening experiments
Build machine learning and generative AI models to simulate and predict cellular responses to genetic and non-genetic perturbations
Identify analytical workflow gaps and develop robust, reproducible solutions to improve data interpretability
Collaborate with experimental and translational teams to ensure computational predictions translate into testable hypotheses

Requirements

8–13 years of directly related experience in computational biology or data science
Expertise in machine learning, deep learning, generative modeling, and transformer architectures
Strong proficiency in Python, R, or similar scientific programming languages
Demonstrated experience with functional genomics, perturbation screens, or single-cell omics
Experience with large-scale data processing, cloud computing, and software best practices
Solid understanding of molecular biology and therapeutic discovery contexts
Excellent analytical and communication skills for cross-functional collaboration

Senior Data Scientist - Perturbation Biology & AI

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