Senior Director, Data Sciences and Advanced Analytics

Senior Director, Data Sciences and Advanced Analytics

Senior Director position in the Data Science and Advanced Analytics (DSAA) organization within drug development. This role is part of a cross‑functional team of drug development scientists and data scientists focused on providing hands‑on skills, expertise, and tools to facilitate access, integration, visualization, and exploratory analysis of complex and diverse data in support of clinical development activities and decisions.

What You’ll Do

• Lead a team of approximately 5 individuals with diverse expertise to drive the data science objectives across early to late‑phase drug development in a specific therapeutic area.
• Develop novel ways of integrating, mining, and visualizing diverse, high‑dimensional data sets.
• 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, Informatics, Clinical and Statistical scientists.
• Develop, validate, and implement predictive models, and deploy automated processes for producing modeling results at scale.
• Generate novel insights from data and present them via rich and intuitive visualizations.
• Build successful partnerships and seamless interfaces within the department and the broader R&D organization. Communicate proactively and effectively across several teams with diverse subject‑matter expertise.
• Ensure quality of deliverables by consistently applying analysis and reporting standards, and driving compliance with regulatory requirements, corporate and departmental SOPs, and work practices.
• Drive the development and implementation of innovative strategies and technologies.
• Independently develop, troubleshoot, and maintain complex programs and utilities in accordance with predefined specifications and BMS standards.
• Provide technical guidance to external partners concerning project and data standards and analysis practices to ensure efficient and integrated project strategies.
• Understand software development methodologies and appropriately apply those methodologies.
• Identify opportunities for increased efficiency and consistency within the DSAA organization and provide SME support to continuous improvement initiatives within and beyond DSAA.

Key Requirements

• Degree Requirements:
  • PhD in a relevant quantitative field (e.g., Biostatistics, Statistics, Bioinformatics, Computer Science, etc.)
• Experience Requirement:
  • 10+ years of relevant experience after receiving a graduate degree.
• Key Competency Requirements:
  • Mastery in data analysis with data generated from clinical trials, observational research, and real‑world data, and modeling methods particularly in their application to clinical trials.
  • Strong expertise in a wide range of AI/DL/ML algorithms.
  • Strong background in core statistical methods such as generalized linear and nonlinear models, survival analysis, etc.
  • Experience in disease areas related to oncology, neuroscience, and immunology.
  • Expertise with various types of data such as imaging, genomics, and proteomics.
  • Outstanding technical and analytic skills, proficient at understanding and conceptualizing business problems and implementing analytic or decision‑support solutions.
  • Excellent communication, organizational, motivational, leadership, and interpersonal skills, capable of interfacing well at multiple levels within and across R&D.
  • Demonstrated ability to develop and lead a team of individuals with diverse experience and expertise.
  • Ability to explain technically complex information for a non‑technical audience.
  • Proven ability to develop and execute strategic and long‑range plans across a wide scope within an organization.
  • Strong positive attitude, thrives in a dynamic, fast‑paced environment with many simultaneous projects.
  • Expert knowledge of programming languages (R, Python) in high‑performance computing environment (e.g., AWS).
  • Experience with NLP is highly preferred.
  • Knowledge of industry practices and regulatory requirements.
• Travel Requirements:
  • This position may require up to 20% travel for meetings and/or professional conferences/congresses.

Compensation Overview

Brisbane – CA – US $259,990 – $315,046

Cambridge Crossing $259,990 – $315,046

Princeton – NJ – US $232,140 – $281,293

Seattle – WA $250,710 – $303,799

The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Benefits

• Health Coverage – Medical, pharmacy, dental, and vision care.
• Well‑being Support Programs – 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.

Paid Time Off

• US Exempt Employees – flexible time off (unlimited, with manager approval) plus 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees).
• 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.

Based on eligibility, additional time off for employees may include 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 and an annual Global Shutdown between Christmas and New Years Day.

Supporting People With Disabilities

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 . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

R Senior Director, Data Sciences and Advanced Analytics

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