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Bristol Myers Squibb is seeking a Senior Scientist in Computational Sciences to work on antibody discovery and design in Cambridge, MA. The role involves developing scalable bioinformatics pipelines and predictive models to support early drug discovery, requiring a PhD and significant experience in bioinformatics and NGS data analysis.
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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 work-life balance 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: 75
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Bristol Myers Squibb is seeking a Senior Scientist in Computational Sciences to work on antibody discovery and design in Cambridge, MA. The role involves developing scalable bioinformatics pipelines and predictive models to support early drug discovery, requiring a PhD and significant experience in bioinformatics and NGS data analysis.
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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 CWL, WDL, Nextflow workflows
Knowledge of protein language models
Familiarity with PDB, OAS, SAbDab resources
Cross-functional collaboration skills
In vitro display technology experience
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