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About the Role

Join a new, cutting-edge Drug Development Data Science and Biomarker team to advance the global drug development process. We seek candidates with strong computational, statistical, and biological capabilities, adept at translating complex data into testable hypotheses and experienced in modeling multimodal data using classical ML and Deep Learning algorithms. This role requires hands-on, state-of-the-art practitioners.

Responsibilities

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 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.
Collaborate with cross-functional teams, including clinicians, data scientists, translational medicine scientists, statisticians, and IT professionals.
Manage and coordinate resources to produce quality deliverables within timelines for competing priorities.

Requirements

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.

Skills

Computational Biology
Biostatistics
Statistics
Computer Science
Omics data analysis
Biomarker data analysis
Clinical trial data analysis
Electronic health records data analysis
AI/ML
SQL
Python
R
Cloud platforms
Statistical modeling
Machine learning modeling
High dimensional data analysis
High throughput data analysis
Time to event data analysis
Longitudinal outcomes analysis
Data presentation
Data visualization

Location

Brisbane - CA - US
Cambridge Crossing
Princeton - NJ - US
Seattle - WA

Work Type

On-site

Experience Level

1+ years of academic/industry experience (with Ph.D.)
3+ years of industry experience (with Master's Degree)

Education Level

Ph.D. in a relevant quantitative field
Master’s Degree in a relevant quantitative field

Salary/Compensations

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

Benefits

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include: Paid Time Off
US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays)
Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Unlimited paid sick time
Up to 2 paid volunteer days per year
Summer hours flexibility
Leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs
Annual Global Shutdown between Christmas and New Years Day.

About the Company

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment.
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.

Equal Opportunity

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.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.