Senior Computational Biologist — AI-Driven Drug Discovery

Tempus; Town of Boston (NY); Hybrid; USD 115,000 - 175,000; Full time

Benefits offered by this job

Benefits package

Incentive compensation

RSUs

Job summary

Tempus seeks a Senior Scientist for the Computational Biology, Pharma R&D team to integrate large-scale molecular and clinical data and generate insights for drug discovery. You will lead cross-functional collaborations with pharma partners and design analytical plans leveraging Tempus multimodal platform.

The role emphasizes AI/LLM integration, robust statistical analyses, and development of innovative research tools, with a focus on impact and efficiency.

Qualifications

• PhD in Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or related field (or Masters with 4+ years).
• 2+ years of industry/post-doc experience is a plus.
• Strong programming experience in R and/or Python; ML/LLM proficiency.

Responsibilities

• Partner with pharmaceutical collaborators on target discovery and biomarker development.
• Conduct robust analyses integrating genomic, transcriptomic, imaging, and clinical data.
• Incorporate LLMs and AI tooling into workflows to speed code development and discovery.
• Develop methods for real-world, clinical and ’omic datasets; contribute reusable code.

Skills

R/Python proficiency

Machine learning

AI tools

Statistical analysis

Biology knowledge

Scientific leadership

Communication

Code review/QA

Education

PhD in Computational Biology/Bioinformatics/Biostatistics or related field

Masters with 4+ years of relevant experience

Tools

Copilot

Cursor

SQL

Git

Job description

Tempus seeks a Senior Scientist for the Computational Biology, Pharma R&D team to integrate large-scale molecular and clinical data and generate insights for drug discovery. You will lead cross-functional collaborations with pharma partners and design analytical plans leveraging Tempus multimodal platform.

The role emphasizes AI/LLM integration, robust statistical analyses, and development of innovative research tools, with a focus on impact and efficiency.