Senior Scientist - Computational Discovery & Translational Analytics
Core
Developing and applying advanced computational approaches to enable target discovery, validation, and biomarker identification across multimodal biological datasets to support preclinical drug discovery.
Role type
Senior Scientist, Computational Biology & Translational Analytics
Builds
Digital innovation in target and therapeutic discovery pipelines
Domain
Biotechnology / Computational Biology / Drug Discovery
Deliverable
production ML models
Required skills
computational biology, statistical modeling, machine learning, molecular biology, high-dimensional multi-omics analysis, variant-to-gene-to-function inference, Python, R
Preferred skills
long-read RNA sequencing, single-cell multi-omics, spatial omics, perturbation screens, translatomics, proteomics, epigenomic data, algorithm development, reproducible analytical workflows
Technologies
Python, R, single-cell multi-omics, spatial omics, perturbation screens, translatomics, proteomics, epigenomic data
Responsibilities
Develop computational methods for target discovery and biomarker identification; Integrate diverse biological data types including bulk, single-cell, and spatial omics; Identify cell-type-specific targets and characterize cellular context; Characterize gene function and mechanisms of action through perturbation studies; Develop frameworks for variant-to-gene-to-function inference; Translate analyses into testable biological hypotheses; Collaborate with experimental scientists to design studies and interpret results; Drive digital innovation by developing robust, reproducible analytical workflows
Seniority
Senior, hands-on IC