Associate Director, Data Science

Bristol Myers Squibb

Warsaw, Poland
Base: zł430,190 - zł521,293; bonus/equity: + incen...
Hybrid (50% onsite)
Ph.d. in quantitative field with 6+ years experience
Strong experience in -omics or molecular assay data analysis
Proficiency in python, r, sql, and cloud platforms
Bristol Myers Squibb is seeking an Associate Director of Data Science in Warsaw, Poland, to lead a new Drug Development Data Science and Biomarker team. The role requires strong leadership and expertise in computational biology, statistical analysis, and biomarker data analysis, along with proficiency in machine learning and programming languages such as SQL, Python, and R

Job Summary

  • This new position joins a cutting-edge Drug Development Data Science and Biomarker team to advance the global drug development process.
  • The role involves developing novel computational methods for patient segmentation using multimodal clinical and omics datasets.
  • Bristol Myers Squibb offers competitive benefits and a flexible work environment focused on transforming patients' lives through science.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking an Associate Director of Data Science in Warsaw, Poland, to lead a new Drug Development Data Science and Biomarker team. The role requires strong leadership and expertise in computational biology, statistical analysis, and biomarker data analysis, along with proficiency in machine learning and programming languages such as SQL, Python, and R.

Salary

Base: zł430,190 - zł521,293; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Wide variety of competitive benefits and programs provided

Skills & Requirements

Must-have

  • Ph.D. in quantitative field with 6+ years experience
  • Strong experience in -omics or molecular assay data analysis
  • Proficiency in Python, R, SQL, and cloud platforms
  • Experience modeling high-dimensional time-to-event data
  • Proven track record in biomarker data analysis from clinical trials

Nice-to-have

  • Deep Learning and classical ML algorithm expertise
  • Ability to lead teams and foster inclusive culture
  • Experience with real-world data cohorts
  • Strong communication skills for scientific communities
  • Knowledge of disease pathways and molecular biology

Key Requirements

  • Ph.D. in relevant quantitative field (or Master's with 8+ years)
  • 6+ years academic/industry experience required
  • Strong background in biomarker data analysis
  • Expertise in AI/ML application to pharma R&D
  • Leadership ability to manage resources and teams

Work Rights

Not specified

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