Senior Scientist, Computational Sciences – Computational Antibody Discovery And Design

Bristol Myers Squibb

Cambridge, MA, US
Base: $148,210 - $179,601; bonus/equity: + incenti...
Hybrid (50% onsite)
Phd in bioinformatics or related field
4+ years industry experience
Ngs data analysis expertise
Bristol Myers Squibb is seeking a Senior Scientist in Computational Sciences to join their Computational Antibody Discovery and Design team in Cambridge, MA. The ideal candidate will have expertise in bioinformatics and computational biology, specifically in antibody discovery and next-generation sequencing data analysis

Job Summary

  • This role offers the opportunity to build novel bioinformatics pipelines to analyze next-generation sequencing data and develop predictive models for antibody discovery.
  • Bristol Myers Squibb provides a wide variety of competitive benefits including health coverage, financial well-being programs, and flexible paid time off options.
  • The position requires a collaborative scientist to partner with cross-functional teams to solve challenging problems and advance the next generation of biotherapeutics.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking a Senior Scientist in Computational Sciences to join their Computational Antibody Discovery and Design team in Cambridge, MA. The ideal candidate will have expertise in bioinformatics and computational biology, specifically in antibody discovery and next-generation sequencing data analysis.

Salary

Base: $148,210 - $179,601; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Health coverage, 401(k), paid time off, and wellbeing support included

Skills & Requirements

Must-have

  • PhD in bioinformatics or related field
  • 4+ years industry experience
  • NGS data analysis expertise
  • Scalable bioinformatics pipeline development
  • Antibody sequence and structure knowledge
  • Python and R programming proficiency

Nice-to-have

  • Experience with CWL, WDL, Nextflow workflows
  • Knowledge of protein language models
  • Familiarity with PDB, OAS, SAbDab databases
  • Cross-functional collaboration skills
  • Strong scientific communication abilities

Key Requirements

  • PhD required in bioinformatics, computer science, engineering, statistics, or similar
  • Minimum 4 years of relevant industry experience
  • In-depth understanding of antibody sequence and structure
  • Strong experience with Python and R data science libraries

Work Rights

Not specified

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