Senior Data Scientist – Perturbation Biology & AI
Core
Develop and apply advanced computational and AI/ML methods to analyze perturbation screening data, map gene–phenotype relationships, and identify novel therapeutic targets for drug discovery.
Role type
Senior IC data scientist (computational biology & AI/ML)
Builds
Computational models and analytical workflows for target validation and therapeutic hypothesis generation
Domain
Biopharmaceuticals / Computational Biology / AI/ML
Deliverable
production ML models
Required skills
AI/ML and causal learning, functional genomics, single-cell omics, Python/R, cloud computing, deep learning, generative AI, transformer architectures
Preferred skills
Agentic AI, FAIR data principles, in silico modeling of cellular responses, scientific programming tool development
Technologies
Python, R, cloud computing platforms
Responsibilities
Develop methodologies at the intersection of functional genomics and AI/ML to identify therapeutic targets; Provide computational support for high-throughput single-cell perturbation and phenotypic screening; Build and apply machine learning and generative AI approaches to simulate cellular responses; Collaborate with experimental biologists to align computational predictions with experimental design
Seniority
Senior, hands-on IC
