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 for their Computational Antibody Discovery and Design team in Cambridge, MA. The role focuses on developing bioinformatics pipelines and predictive models to enhance antibody discovery efforts in pre-clinical programs, while fostering collaboration within interdisciplinary teams

Job Summary

  • This role offers the opportunity to build novel bioinformatics pipelines that directly impact early drug discovery and lead prioritization in pre-clinical programs.
  • The position requires a collaborative scientist to partner with cross-functional teams to design experiments and implement computational models for next-generation biotherapeutics.
  • Bristol Myers Squibb provides competitive benefits including health coverage, financial well-being plans, and flexible time off options for eligible employees.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking a Senior Scientist for their Computational Antibody Discovery and Design team in Cambridge, MA. The role focuses on developing bioinformatics pipelines and predictive models to enhance antibody discovery efforts in pre-clinical programs, while fostering collaboration within interdisciplinary teams.

Salary

Base: $148,210 - $179,601; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Medical, dental, vision, 401(k), paid time off, and wellness programs

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 Nextflow or CWL
  • 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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