Senior Manager, Data Scientist

We are looking for candidates with strong computational, statistical, and biological capabilities with 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.

- 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 Scientists - Partner 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 development - Execute biomarker analyses on datasets from BMS clinical trials and real-world data cohorts - Perform relevant and innovative statistical analyses of high-dimensional (e.g. gene expression, sequencing) data generated by cutting edge technologies - Execute and contribute to the scientific and statistical strategy of drug development, including development of predictive biomarker(s) and precision medicine - 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 strategy

- Formulate, implement, test, and validate predictive models and implement efficient automated processes for producing modeling results at scale. - Responsible for collaborating with cross-functional teams, including but not limited to clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals. - Manage and coordinate resources to produce quality deliverables within timelines for competing priorities.

- Ph.D. in a relevant quantitative field (i.e. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) and 1+ years of academic/industry experience or Master's Degree in a relevant quantitative field and 3+ years of industry experience - Strong experience in the analysis of data generated by one or more -omics or molecular assays is required - Knowledge of molecular biology, understanding of disease pathways are preferred - Strong experience in biomarker data analysis with data generated from clinical trials, or electronic health records - Experience in modeling methods particularly in their application to pharma R&D Experience in the application of AI/ML, and proficient in SQL, Python, and R and cloud platforms - Experience developing statistical and machine learning models on high dimensional and high throughput data for time to event data and longitudinal outcomes - Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data - Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects. - Strong problem-solving and collaboration skills, and rigorous and creative thinking. - Excellent communication, data presentation, and visualization skills. - Capable of establishing strong working relationships across the organization

On-site Protocol Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

Brisbane - CA - US: $170,470 - $206,567 Cambridge Crossing: $170,470 - $206,567 Princeton - NJ - US: $148,230 - $179,622 Seattle - WA: $163,060 - $197,585

Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture.

For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com .

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