Tempus
Scientist II, Computational Biology, Pharma R&D
$90K–$150K
Boston +2 · Full-time · Posted Oct 20, 2026
- Location
- Boston
Chicago
New York City - Experience
- Master’s degree with 3+ years of relevant experience is stated as an alternative to a PhD; no years specified for the PhD route.
- Education
- PhD in Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or a related field, or master’s degree with 3+ years of relevant experience.
About the job
Conduct computational biology research with pharmaceutical partners, integrating molecular and clinical data to support drug discovery, biomarker development, and clinical development.
What you'll do
- Plan and conduct analyses of genomic, transcriptomic, imaging, and clinical data to generate insights for partner programs.
- Develop and apply statistical, computational, and AI methods, and contribute reusable code and research tools.
- Collaborate with scientific and technical stakeholders and communicate findings through reports, presentations, and publications.
What they ask for
- PhD in a related field, or a master’s degree with 3+ years of relevant experience.
- Proficiency in R and/or Python; experience with SQL and large relational databases.
- Experience using machine learning, LLM-based coding assistants, and agentic frameworks for biological or clinical research.
- Strong statistical and data-analysis skills, relevant biological knowledge, and experience analyzing large-scale biological datasets.
Nice to have
- Practical experience configuring or adapting LLMs or related tools for scientific work.
- Expertise in RWE, survival analysis, causal inference, network/systems biology, or multimodal integration.
Pay
USD 90,000-$135,000 base salary (CHI); USD 100,000-$150,000 base salary (NYC)
Tools
R, Python, SQL, Claude Code, Codex
AI focus
Use LLMs, agentic workflows, foundation models, and other AI tools to accelerate research workflows and generate insights; apply machine learning and LLM-based coding assistants to biological and clinical research.
Model-written summary · the original posting is authoritative