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 Biotherapeutics Computational Design team in Cambridge, MA. The role focuses on developing bioinformatics pipelines and predictive models for antibody discovery, requiring a PhD and extensive experience in analyzing NGS data

Job Summary

  • This role focuses on building scalable analysis workflows and models for antibody discovery with direct impact on early drug discovery programs.
  • The position offers the opportunity to work on cross-functional teams to solve challenging problems and advance the next generation of biotherapeutics.
  • Bristol Myers Squibb provides a wide variety of competitive benefits including health coverage, financial well-being protection, and flexible time off.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking a Senior Scientist in Computational Sciences to join their Biotherapeutics Computational Design team in Cambridge, MA. The role focuses on developing bioinformatics pipelines and predictive models for antibody discovery, requiring a PhD and extensive experience in analyzing NGS data.

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

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 B-cell receptor repertoires
  • Workflow orchestrators like CWL or Nextflow
  • Protein language models and AI/ML methods
  • Public protein resource familiarity (PDB, SAbDab)
  • Cross-functional collaboration skills

Key Requirements

  • PhD required in bioinformatics, computer science, engineering, statistics, or similar
  • Minimum 4 years of relevant industry experience
  • Strong background in scientific programming languages Python and R

Work Rights

Not specified

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