Associate Director Biomarker Data Sciences

Princeton Pike, NJ · Brisbane, CA · Cambridge Crossing, MAPosted Jun 22, 2026
Career Areas Career Stories Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Careers Home Life at BMS Career Areas Student Opportunities Events How We Recruit Career Stories Search this site Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Single PositionView All JobsAssociate Director Biomarker Data SciencesPrinceton Pike - NJ +2 moreNo longer accepting applications.Job IDR1601604Date posted04/20/2026DepartmentBiostatisticsJob DescriptionWorking 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 lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside multidimensional, high-achieving teams. 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. Read more: careers.bms.com/working-with-us.Associate Director – Biomarker Data ScientistThis is a new position. You will join a new cutting-edge Drug Development Data Science and Biomarker team to advance the global drug development process. We are looking for candidates with strong leaderships skills; strong computational, statistical, and biological capabilities; and a demonstrated track record of translating complex data into testable hypotheses and experience modeling multimodal (clinical, omics, real-world) data using the classical ML and Deep Learning algorithms. We are looking for hands-on state-of-the-art practitioners. What you’ll do:Develop and apply novel or existing computational methods for patient segmentation from multimodal clinical and omics datasets for various treatment modalities in partnership with Translational, Clinical and Statistical ScientistsPartner with lead and protocol statisticians in writing, reviewing and executing protocols and statistical analysis plans (SAP) for biomarkers and diagnostics, highlighting the biomarker strategy for clinical drug developmentDefend biomarker analysis plans at internal reviews and provide reviews of complex biomarker-related study and analysis plansTake a lead role on biomarker-related analysis plans and analyses; and revise as needed as data emergesCoordinate biomarker analyses on datasets from BMS clinical trials and real-world data cohortsPlan and perform relevant and innovative statistical analyses of high-dimensional (e.g. gene expression, sequencing) data generated by cutting edge technologiesExecute and contribute to the scientific and statistical strategy of drug development, including development of predictive biomarker(s) and precision medicineCollaborate with biomarker scientists in planning and executing experiments to optimize and validate biomarker assays for clinical trial usage.Develop, implement, and apply state-of-the-art algorithms to address key business problems and drive the implementation of innovative statistical methods in support of biomarker strategyFormulate, implement, test, and validate predictive models and implement efficient automated processes...

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