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Principal Scientist
Statistical Bioinformatics
Posted on 7/28/2022
Cambridge, MA, USA • Seattle, WA, USA • Summit, NJ, USA • Toms River, NJ...
Experience Level
Desired Skills
  • PhD 5+ years of academic or industry experience OR
  • Master's Degree 6+ years of academic or industry experience OR
  • Bachelor's Degree 8+ years of academic or industry experience
  • Collaborate closely with others on translational research teams to evaluate, develop, and apply cutting-edge methods for analysis of multi-modal, high-dimensional -omics data
  • Influence best practices in areas such as causal inference, large-scale inference, building and assessing predictive models, analyzing biological networks, visualizing -omics data, and NGS data normalization and analysis
  • Provide expertise in state-of-the-art statistical methods for data exploration, visualization, and analysis while both advising colleagues and performing hands-on work
Desired Qualifications
  • Ph.D. in statistics, biostatistics, or closely-related field - Strongly Preferred
  • Solid grounding in statistical theory and familiarity with recent developments in statistics
  • Skilled at working with large data sets
  • Expertise in Bayesian methods
  • Expertise in large-scale or causal inference, resampling methods, modern classification and regression, analysis of longitudinal data, predictive model development and assessment, and statistical graphics and programming
  • Familiarity with semi- and non-parametric estimation and inference, survival analysis, multivariate methods, and design of experiments
  • Working knowledge of biology
  • Familiarity with statistical genetics and genomics and clinical trial design and analysis is a plus
  • Experience analyzing and interpreting NGS data is a plus
  • Fluency with Linux-based high-performance computing environments, R/Bioconductor, and reproducible research practices
  • Strong problem-solving and collaboration skills, and rigorous and creative thinking
  • Excellent written and oral communication skills, including an ability to discuss and explain complex ideas with computational scientists, experimentalists, and clinicians
  • The ability to work across organizations to define and solve problems that will benefit the whole. Capable of establishing strong working relationships across the organization
  • Enjoy collaborating to solve challenging problems at the intersection of modern statistics and medicine to help bring new medicines to patients
Bristol-Myers Squibb

10,001+ employees

Biopharmaceutical development company
Company mission
Bristol-Myers Squibb engages in the discovery, development, licensing, manufacturing, marketing, distribution and sale of pharmaceuticals.