Associate Director / Director, Data Management

Beam TherapeuticsCambridge, MA

About The Position

Reporting to the Senior Director, Clinical Data Management, the Associate Director / Director, Clinical Data Management will serve as the dedicated data management lead for Beam Therapeutics' Liver franchise. This role initially supports a single study and will expand to include additional studies and programs across the franchise portfolio. It offers a unique blend of hands-on study oversight and strategic leadership, making it an ideal opportunity for a candidate who thrives at the intersection of execution and innovation, in a fast-paced biotech environment where clarity, quality, and collaboration are critical. This is a highly visible role working cross-functionally with Clinical Development, Biostatistics, Statistical Programming, Regulatory, Quality, and external partners to ensure data integrity, inspection readiness, and timely delivery of data supporting key development and regulatory milestones.

Requirements

  • BS or MS degree in a scientific or health-related field.
  • 10+ years of experience in clinical data management within pharmaceutical/biotech and/or CRO environments.
  • Demonstrated sponsor-side ownership of Phase I, II and III studies, from start-up through closure for multiple clinical studies.
  • Strong hands-on experience with EDC systems (e.g., Medidata RAVE, Veeva EDC, Oracle Inform).
  • Deep knowledge of CDASH/CDISC, GCP/ICH, and FDA regulatory expectations.
  • Proven experience overseeing CROs and external data vendors.
  • Experience developing reports using J-Review and/or other CDM reporting tools.
  • Must be self-motivating, with strong analytical, organizational, and communication skills, with the ability to manage complexity across multiple studies.
  • Demonstrated ability to navigate evolving priorities and drive timelines forward with focus and composure in a fast-moving organization.

Nice To Haves

  • Prior IND, as well as NDA/BLA (filing/submission) experience, is highly desirable.
  • Experience and knowledge of gene/cell therapy and/or rare disease.
  • Prior experience supporting registrational or pre registrational programs.

Responsibilities

  • Lead sponsor side clinical data management activities across multiple concurrent studies within a defined therapeutic area.
  • Own data management execution from study start-up through database lock and archival for concurrent studies, including late stage and registrational trials.
  • Ensure data quality, integrity, and traceability to support interim analyses, CSRs, DSURs, IB updates, and program specific regulatory interactions.
  • Proactively identify data risks, trends, and operational dependencies; communicate issues early with clear, solution-oriented recommendations.
  • Serve as the primary data management contact for CROs and third-party data vendors.
  • Oversee outsourced CDM activities to ensure timely, high-quality deliverables aligned with sponsor’ expectations.
  • Monitor CRO and vendor performance, escalating risks and proposing mitigation strategies in partnership with the Senior Director of Data Management.
  • Contribute expert input to the development and evolution of data management standards, processes, tools/systems and vendor operating models as the organization scales its clinical portfolio.
  • Provide hands-on leadership for: CRF design and cross functional review, Edit check specifications and user acceptance testing, Data Management Plans and CRF Completion Guidelines, External data transfer specifications.
  • Apply CDASH/CDISC expertise and partner with Statistical Programming to support SDTM readiness, validation outputs, Reviewer’s Guides, and define.xml.
  • Support inspection readiness activities across assigned programs, ensuring documentation and data traceability meet regulatory expectations.
  • Serve as a key data management participant during audits and inspections, in coordination with the Senior Director and Quality.
  • Ensure data management deliverables remain inspection ready throughout the study lifecycle.
  • Collaborate closely with Clinical Operations, Biostatistics, Statistical Programming, Medical Monitoring, Regulatory, and Quality.
  • Communicate complex data issues clearly and effectively to stakeholders with varying technical backgrounds.
  • Build trust as a pragmatic, detail-oriented partner who balances scientific rigor with efficient execution.
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