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Princeton, New Jersey, United States Bristol-Myers Squibb Company Full timeWorking with UsChallenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the...
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Princeton, New Jersey, United States BristolMyers Squibb Full timeWorking with UsChallenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the...
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Data Scientist Positions
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Princeton, New Jersey, United States Job Target Full timeData Scientist positions are available through the Princeton Precision Health Initiative at Princeton University. The Princeton Precision Health (PPH) initiative seeks to hire staff scientists in data science, computational biology, psychology, and neuroscience. The rank will be Associate Professional Specialist or Professional Specialist, commensurate with...
Senior Data Scientist
3 weeks ago
Bristol Myers Squibb is a global pharmaceutical leader driven by a passion to transform patients' lives through science. We are seeking a talented Computational Biologist to join our Informatics and Predictive Sciences team.
In this role, you will apply cutting-edge computational methods to molecular profiling datasets and develop hypotheses to stratify patients and prioritize indications, guiding clinical oncology development and reverse translation.
The position requires strong experience in the use of high-level programming languages such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices.
You will work with colleagues in the Informatics & Predictive Sciences group to identify drivers of disease heterogeneity and potential therapeutic targets for patients in unmet need.
This opportunity offers the chance to make major contributions to scientific knowledge of cancer disease biology, and directly impact treatment of cancer patients.