Principal Scientist, Translational Computational Biology

Scorpion Therapeutics; Cambridge (MA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Bristol Myers Squibb seeks a Principal Scientist, Translational Computational Biology to join the Oncology Translational IPS team in Cambridge, MA. The role focuses on embedding computational expertise across discovery through early clinical development, driving data integration and hypothesis generation.

You will lead multimodal analyses, advance AI-enabled methods, mentor scientists, and collaborate across disciplines to shape biomarker strategies and target validation in oncology.

Qualifications

• Ph.D. in computational biology, bioinformatics, or related field with 4+ years relevant experience.
• Strong programming skills in R and Python.
• Experience with spatial biology platforms (Xenium, Visium, COMET, PhenoCycler).
• Familiarity with oncology drug development and biomarker strategies.
• Proven ability to translate complex data into actionable insights.
• Expertise in spatial transcriptomics and proteomics, AI/ML applications in translational science.
• Experience in oncology translational research or early clinical development.
• Publication record in methods development.

Responsibilities

• Analyze multimodal patient-derived datasets including spatial transcriptomics, spatial proteomics, RNA-seq, WES, ctDNA, TCR-seq, and flow cytometry.
• Support biomarker and patient stratification strategies.
• Interpret data to inform target validation, IND-enabling studies, and early clinical decisions.
• Develop and deploy AI-enabled methods for evidence integration and hypothesis generation.
• Lead computational ownership of spatial biology platforms.
• Mentor junior scientists and enhance portfolio capabilities through scalable, reproducible workflows.

Skills

R/Python

Spatial biology platforms

Oncology translational

Data integration

Education

Ph.D. in computational biology or related field

Tools

Xenium

Visium

COMET

PhenoCycler

Job description

Principal Scientist, Translational Computational Biology within BMS's Oncology Translational IPS team, focusing on embedding computational expertise into oncology drug development from discovery through early clinical phases.

Responsibilities

• analyze multimodal patient-derived datasets-including spatial transcriptomics, spatial proteomics, RNA-seq, WES, ctDNA, TCR-seq, and flow cytometry
• support biomarker and patient stratification strategies
• interpret data to inform target validation, IND-enabling studies, and early clinical decisions
• develop and deploy AI-enabled methods for evidence integration and hypothesis generation
• lead computational ownership of spatial biology platforms
• mentor junior scientists and enhance portfolio capabilities through scalable, reproducible workflows

Requirements

• Ph.D. in computational biology, bioinformatics, or related, with 4+ years relevant experience, or equivalent with additional years
• strong programming skills in R/Python
• experience with spatial biology platforms (Xenium, Visium, COMET, PhenoCycler)
• familiarity with oncology drug development and biomarker strategies
• proven ability to translate complex data into actionable insights

Preferred

• expertise in spatial transcriptomics and proteomics, AI and machine learning applications in translational science, perturbation biology, and regulatory network analysis
• experience in oncology translational research or early clinical development
• publication record in methods development

High-Value

Oncology, spatial biology, multimodal patient data, early-phase clinical support, biomarker strategy, and computational innovation in drug discovery.

Work Setup

Likely hybrid or onsite in Cambridge, with collaboration across multi-disciplinary teams.