Scientist – Research Computational Biology (ARIA)
Core
Apply data science and disease biology expertise to accelerate the identification, prioritization, and validation of transformative therapeutic targets for patients.
Role type
Research computational biologist (therapeutic target discovery)
Builds
Foundational target insights, disease endotype characterizations, and novel therapeutic hypotheses
Domain
Biopharmaceutical R&D / Computational Biology / Omics
Deliverable
production ML models | research
Required skills
Python, R, Linux/Unix, single cell omics analysis, cloud computing, HPC, Git, long-read transcriptomics, proteomics, screening technologies
Preferred skills
immunology, RNA and protein isoform complexity, transcriptional foundation models, biomedical knowledge graphs, public data resources (DepMap, Human Cell Atlas, TCGA, GTEx), interactive portals (RShiny), workflow management systems (Nextflow)
Technologies
Python, R, Linux/Unix, Git, cloud computing, HPC, Nextflow, RShiny
Responsibilities
Extract biological insight from multi-modal omics and screening data; Develop methods to guide target prioritization across diseases; Develop capabilities for discovering novel disease-enriched isoforms; Partner with data science teams to integrate tools into R&D platforms
Seniority
Mid-Senior, hands-on IC