Executive Director, Data Sciences & Advanced Analytics

Bristol Myers SquibbNeedham, MA
$340,870 - $413,051Hybrid

About The Position

As a senior strategic leader of the Data Science and Advance Analytics (DSAA) organization in drug development, this role provides enterprise-wide vision and direction as part of a cross-functional team of drug development scientists and data scientists. The Executive Director will set and drive the strategic vision of exploratory analysis for scientific considerations related to drug development and clinical study design, with primary focus in early to late-phase clinical programs in Neuroscience and digital health technologies across all disease areas. Through strategic oversight and hands-on leadership, the Executive Director will define approaches, processes, algorithms, and tools that support the analytics, visualizations, and decision support needs of drug development scientists and projects. The Executive Director will play a pivotal role in building and scaling the organization, cultivating relationships with senior stakeholders, and championing the adoption of relevant tools and approaches. The Executive Director will collaborate with Biostatistics leadership and cross-functional leaders to ensure connectivity of exploratory analysis work in support of development, regulatory approval, and market acceptance of Bristol-Myers Squibb (BMS) products. This position includes functional management responsibilities.

Requirements

  • M.D. and/or PhD in a relevant clinical and quantitative field (i.e. Biostatistics, Neuroscience, Bioinformatics, etc.).
  • 15+ years of relevant experience after receiving a graduate degree
  • 5+ years of senior leadership experience managing large, cross-functional teams, with a preference for those with a background leading clinical programs in Neuroscience
  • Strong expertise and experience in the medical field and disease areas, especially in Neurology, along with experience in quantitative modeling and applications clinical trials.
  • Mastery in data analysis with data generated from clinical trials, observational research or real-world cohorts, and modeling methods particularly in their application to clinical trials.
  • Expertise in quantitative modeling and AI/ML applied to clinical trials, underpinned by strong command of core statistical methods (e.g., mixed effects models, nonlinear models, survival analysis).
  • Broad clinical trial and medical experience across multiple disease areas, with particular depth in Neurology.
  • Expertise with various types of multi-modal data and modeling in clinical trials.
  • Outstanding clinical, technical and analytic skills, proficient at understanding and conceptualizing business problems and implementing analytic or decision support solutions.
  • Exceptional communication, organizational, motivational, and executive leadership skills capable of influencing and aligning at the most senior levels within and across R&D.
  • Demonstrated ability to build, scale, and lead large organizations with diverse experience and expertise.
  • Ability to explain technically complex information for a non-technical audience.
  • Proven ability to define and execute enterprise-wide strategic and long-range plans.
  • 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 environments.
  • Knowledge of industry practices and regulatory requirements.
  • Track record of driving organizational transformation and scaling data science functions

Responsibilities

  • Lead a team of approximately 10 or more individuals with direct and indirect reports across diverse expertise.
  • Utilize clinical/medical and disease area expertise to generate novel insights from data and present them via rich and intuitive visualizations, including senior leadership and executive committees.
  • Define and drive the strategic vision for data science across early to late-phase drug development across multiple disease indications, with primary focus in Neurology portfolio.
  • Develop novel ways of integrating, mining, and visualizing diverse, clinical and high-dimensional data sets such as genomics, imaging, fluid biomarkers and digital measurements.
  • Oversee the development, validation, and implementation of predictive models for clinical trial use, and deploy automated processes for producing modeling results at scale.
  • Lead end-to-end digital health data science strategy and execution in Neurology and other disease areas, encompassing wearable/sensor signal processing pipelines through to advanced predictive modeling (including deep learning), with rigorous validation and clinical interpretability.
  • Builds and sustains high-impact, enterprise-level partnerships and seamless interfaces within the department and the broader research and development organization.
  • Influences and aligns stakeholders at the VP/SVP level.
  • Ensures quality of deliverables by consistently applying analysis and reporting standards, and driving compliance with regulatory requirements, corporate and departmental SOPs, and work practices.
  • Leads the vision and execution of innovative strategies and technologies across the DSAA enterprise.
  • Provides executive-level clinical and technical guidance and sets direction for complex clinical programs and utilities.
  • Provides clinical and technical guidance to external partners concerning clinical trial and data standards, and analysis practices to ensure efficient and integrated clinical project strategies.
  • Champions and governs software development methodologies across the organization.
  • Leads and sponsors increased efficiency and continuous improvement initiatives within and beyond DSAA.
  • Represents DSAA at the enterprise level, contributing to BMS R&D strategy discussions with senior leadership, external regulatory bodies, and scientific conferences.
  • Responsible for workforce planning, talent strategy, and building a culture of innovation within the DSAA organization.

Benefits

  • Medical, pharmacy, dental, and vision care.
  • Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
  • 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.
  • Flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio 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 and an annual Global Shutdown between Christmas and New Years Day.
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