Senior Clinical Data Manager
Listed on 2026-06-02
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IT/Tech
Data Analyst, Data Security, Data Scientist, Data Warehousing
Repertoire Immune Medicines is a clinical-stage biotechnology company harnessing the power of the human immune system to develop transformative therapies for cancer and autoimmune disease. Using its proprietary DECODE(TM) platform—which maps the immune synapse between T cell receptors (TCRs) and their antigen targets—Repertoire translates unique biological insights into potent, targeted immune medicines. The company integrates deep protein engineering expertise and has established collaborations with several leading pharmaceutical companies, including Bristol Myers Squibb, Genentech, Eli Lilly, and Pfizer.
Repertoire is advancing a pipeline of TCR bispecific immunotherapies with the potential to address a broad range of cancers and autoimmune disorders. The company’s lead oncology program, RPTR-1-201, a TCR bispecific, is currently in a Phase 1/2 clinical trial across multiple solid tumor indications. Repertoire plans to advance additional TCR bispecific therapies into clinical trials over the next 12–18 months. The Senior Clinical Data Manager will play a central role in supporting these programs.
PositionSummary
The Senior Clinical Data Manager will lead clinical data management activities for Repertoire-sponsored clinical trials from trial start-up through database lock, archival, and regulatory submission support. This individual will provide hands‑on data management expertise and sponsor oversight of CROs and third‑party vendors, partnering closely with Clinical Operations, Clinical Development, Safety, Regulatory, Translational Medicine, and external vendors to ensure timely, accurate, complete, and inspection‑ready clinical trial data in accordance with GCP, ICH guidelines, applicable regulatory requirements, data privacy requirements, and Repertoire SOPs.
The ideal candidate brings deep CDM expertise, sound judgment in identifying and escalating data quality risks, and the ability to translate protocol requirements into practical data collection and review strategies. This is a role for someone who operates with high ownership and follow‑through, thrives in a lean, fast‑moving biotech environment, and is deeply committed to patient safety, data integrity, and regulatory‑quality trial execution.
The successful candidate will also value a highly collaborative, in‑person team culture and be expected to work on‑site in our Cambridge office three or more days per week.
Key ResponsibilitiesTrial Leadership & Data Management
- Develop and maintain key data management documents, including the Data Management Plan, eCRF specifications, completion guidelines, edit check specifications, data validation plan, data transfer specifications, external data reconciliation plans, medical coding plan, and database lock plan.
- Establish and track data management timelines, deliverables, milestones, risks, and mitigation plans; provide regular updates to management.
- Oversee and provide hands‑on review of Medidata Rave eCRF design, database build, edit checks, testing, UAT, go‑live, change control, and database lock activities, including approval of database change requests during study conduct.
- Ensure eCRF design and database structure support protocol requirements, efficient data cleaning, SDTM mapping, and regulatory submission readiness; apply CDASH principles and maintain alignment with CDISC standards (SDTM, ADaM).
- Oversee data cleaning and lead cross‑functional data review — including adverse events, serious adverse events, concomitant medications, laboratory data, exposure, dose modifications, tumor assessments, and protocol deviations — to ensure data are accurate, complete, traceable, and available in support of safety surveillance, regulatory reporting, and clinical decision‑making.
External Data, Vendor Oversight & Compliance
- Serve as primary point of contact and provide sponsor oversight of CRO data management activities and third‑party vendors (IRT, central and local laboratory, imaging, safety, PK/PD, biomarker, genomic, and specialty testing), ensuring deliverables meet Repertoire quality expectations and align with protocol requirements, data standards, regulatory expectations, and study timelines.
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