Statistical Methodology/Sr. Principal Data Scientist

Main Location
New York City, NY, United States
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At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Statistical methodologists/Sr. Principal Data Scientist will work with key R&D leaders to extract insight from complex clinical, translational and real-world data. They will have the opportunity to work on complex data science problems including modeling techniques to interpret, infer and recommend based on insights from data.

Roles and Responsibilities:

  • Formulates, implements, tests, and validates predictive models and implements efficient automated processes for producing modeling results at scale.
  • Ability to manage multiple engagements with partners and start ups in the field of data science.
  • Leads cross-functional ideation sessions including hackathons and datathons for the R&ED and GDD organizations
  • Contributes to the development of junior data scientist by providing mentorship and coaching as well as developing training curriculum for the broader organization.
  • Responsible for collaborating with cross functional teams, including but not limited to, clinicians, data scientist, translational medicine scientist, statisticians, and IT professionals.
  • Proactively builds partnerships with specialist functions and global counterparts to maximize knowledge and available resources.
  • Manages and coordinates limited resources to produce quality deliverables within timelines for competing priorities.
  • Acts as a resource/mentor to study team members - both internally and externally.


  • Ph.D. in quantitative sciences (computer science, math, statistics and engineering)
  • 8+ years experience in healthcare or pharmaceutical is preferred but not required
  • Strong knowledge of programing languages, with a focus on machine learning (Python, Spark, R, Tensorflow, Sagemaker, etc)
  • Ability to summarize technically/analytically complex information for a non-technical audience
  • Demonstrated ability to work in a team environment with good interpersonal, communication, writing and organizational skills.
  • Outstanding technical and analytic skills, proficient at understanding and conceptualizing business problems and implementing analytic or decision support solutions

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

We're a community of women leveraging our connections into top companies to help underrepresented women get the roles they've always deserved. Simultaneously, we work to build truly inclusive hiring processes and environments where women can thrive and not just survive.
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Statistical Methodology/Sr. Principal Data Scientist
Bristol Myers Squibb