Principal Computational Biologist, Multi-Omics & Single-Cell

Bristol-Myers Squibb; Cambridge (MA); On-site; USD 166,770 - 202,086; Full time

Benefits offered by this job

Health Coverage

Wellbeing Support

401(k) plan

Flexible time off

Job summary

Bristol-Myers Squibb in Cambridge, MA is seeking a Principal Scientist in Computational Biology to support early pipeline programs through computational research and integrative analyses. This role involves working with high-dimensional biological datasets and applying machine learning methodologies.

The ideal candidate will have a strong doctoral background in a quantitative field, with at least 5 years of post-graduate experience, and be proficient in programming languages such as R or Python. Join a diverse team making impactful contributions in drug discovery.

Qualifications

• PhD from a recognized institution in computational biology, statistics, computer science, or a related discipline with 5+ years of experience.
• Advanced hands-on knowledge of programming languages such as R or Python for computational research.

Responsibilities

• Perform computational research and integrative analyses on multimodal biological profiling datasets.
• Apply machine learning and statistical approaches to experimental readouts from perturbation experiments.
• Communicate findings and recommend follow-up actions in multiple settings.

Skills

Analytical skills

Machine learning

Statistical approaches

High-level programming (R, Python)

Communicative skills

Education

PhD in a quantitative field

Tools

Computational research tools

Job description

Bristol-Myers Squibb in Cambridge, MA is seeking a Principal Scientist in Computational Biology to support early pipeline programs through computational research and integrative analyses. This role involves working with high-dimensional biological datasets and applying machine learning methodologies.

The ideal candidate will have a strong doctoral background in a quantitative field, with at least 5 years of post-graduate experience, and be proficient in programming languages such as R or Python. Join a diverse team making impactful contributions in drug discovery.