Senior Scientist - Computational Systems & Predictive Biology
Core
Developing scientific platforms and predictive systems for scalable, reproducible computational biology to accelerate target discovery and validation in drug development.
Role type
Senior Scientist, Computational Systems & Predictive Biology
Builds
Reusable computational frameworks, predictive models, and user-facing tools for in silico biological interrogation.
Domain
Biotechnology / Drug Discovery / Computational Biology
Deliverable
production ML models | product features
Required skills
computational biology, machine learning, predictive modeling, generative modeling, multimodal data integration, Python, R, Linux/Unix, workflow management (Nextflow), AWS cloud infrastructure
Preferred skills
statistical modeling, representation learning, single-cell/spatial omics analysis, patent/publication record, cross-functional collaboration
Technologies
Python, R, Nextflow, AWS
Responsibilities
Develop and implement computational systems standardizing data and models; Define canonical data representations across multimodal datasets; Design predictive systems for molecular/cellular profiling; Translate models into user-facing tools and platforms; Enable experimental scientists with actionable hypotheses; Collaborate with data engineering and scientific teams to deploy scalable systems.
Seniority
Senior, hands-on IC
