Principal Scientist, Translational AI Foundations Platform

Bristol-Myers Squibb Co

Cambridge (MA)

On-site

USD 180,000 - 230,000

Full time

14 days+

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Job summary

Bristol Myers Squibb in Cambridge, MA is seeking a Principal Scientist to lead Translational AI Foundations. You will own the shared software platform, define governance, and deploy validated tools as scalable services to accelerate translational decisions.

You will collaborate with translational research groups, data, IT, and knowledge-management teams, shaping enterprise data platforms and fostering reproducible, auditable pipelines across ctDNA and biomarker domains.

Qualifications

  • Ph.D. in computational biology, bioinformatics, computer science, data engineering or a related quantitative field with 4+ years of relevant academic and/or industry experience.
  • Or Master's degree with 6+ years
  • Or Bachelor's degree with 8+ years

Responsibilities

  • Own the shared software platform and governance tooling.
  • Deploy validated tools as reliable services with CI/CD and monitoring.
  • Collaborate with translational research groups and IT to connect governed data.
  • Lead development of ontology and knowledge graph services and data models.

Skills

Cloud engineering
Python services
Data governance
Kubernetes
Version control
CI/CD
Ontology/Knowledge graph
Documentation

Education

Ph.D. in computational biology, bioinformatics, computer science, data engineering or a related quantitative field
Or Master's degree with 6+ years
Or Bachelor's degree with 8+ years

Tools

Databricks
AWS (S3, Lambda, EC2)
Docker
Kubernetes
Terraform
CI/CD tooling

Job description

Bristol Myers Squibb in Cambridge, MA is seeking a Principal Scientist to lead Translational AI Foundations. You will own the shared software platform, define governance, and deploy validated tools as scalable services to accelerate translational decisions.

You will collaborate with translational research groups, data, IT, and knowledge-management teams, shaping enterprise data platforms and fostering reproducible, auditable pipelines across ctDNA and biomarker domains.

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