Expertise in functional genomics and perturbation screens
Strong background in machine learning and deep learning
This role involves developing advanced computational and AI/ML methods to analyze perturbation screening data within Amgen's ARIA organization
Job Summary
This role involves developing advanced computational and AI/ML methods to analyze perturbation screening data within Amgen's ARIA organization.
The successful candidate will collaborate with experimental biologists to ensure computational predictions align with biological context and drive target validation.
The position requires a senior professional with a deep theoretical understanding of causal learning and a proven track record in translating data into actionable insights.
Matching Summary
This role involves developing advanced computational and AI/ML methods to analyze perturbation screening data within Amgen's ARIA organization.
Skills & Requirements
Must-have
Senior Data Scientist with 8-13 years experience
Expertise in functional genomics and perturbation screens
Strong background in machine learning and deep learning
Proficiency in Python or R for scientific programming
Experience with single-cell omics technologies like Perturb-seq
Nice-to-have
Familiarity with agentic AI and generative modeling
Experience with cloud computing and workflow development
Knowledge of FAIR data principles
Track record of innovative algorithm development
Ability to contextualize findings in therapeutic discovery
Key Requirements
8-13 years of directly related experience
Degree in relevant field (Any degree)
Proven expertise in method development for functional genomics