Associate Director, Data Science

Bristol Myers Squibb

Not specified; not specified; competitive benefits...
50% onsite
Phd in quantitative field with 6+ years experience
Python r sql and cloud platforms proficiency
Clinical trial design and drug development knowledge
Bristol Myers Squibb is seeking an Associate Director of Data Science to lead advanced analytics and data science initiatives within their Drug Development Data Science & Advanced Analytics (DSAA) team. The role requires a strong background in data science and statistical analysis, particularly within pharmaceutical R&D, and offers opportunities for significant professional growth in a collaborative and innovative environment

Job Summary

  • This role offers the opportunity to shape the future of drug development by transforming complex multi-modal data into life-changing scientific decisions.
  • The successful candidate will lead the design and execution of exploratory and confirmatory analyses across diverse data types from early discovery through late-phase clinical development.
  • Bristol Myers Squibb provides a supportive culture promoting global participation in clinical trials with competitive benefits and flexible work environments.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking an Associate Director of Data Science to lead advanced analytics and data science initiatives within their Drug Development Data Science & Advanced Analytics (DSAA) team. The role requires a strong background in data science and statistical analysis, particularly within pharmaceutical R&D, and offers opportunities for significant professional growth in a collaborative and innovative environment.

Salary

Not specified; Not specified; Competitive benefits and programs provided

Skills & Requirements

Must-have

  • PhD in quantitative field with 6+ years experience
  • Python R SQL and cloud platforms proficiency
  • Clinical trial design and drug development knowledge
  • AI ML deep learning NLP causal ML expertise
  • Leadership of data science teams and strategy

Nice-to-have

  • Experience with genomics proteomics imaging datasets
  • Knowledge of real world data sources EHR claims
  • Familiarity with adaptive platform clinical trials
  • Understanding of molecular biology disease pathways
  • Experience with explainable AI and survival analysis

Key Requirements

  • PhD or Master's degree in relevant quantitative field
  • 6+ years academic/industry experience or 8+ years industry
  • Proven track record in pharma R&D context
  • People management or formal scientific leadership role

Work Rights

Not specified

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