Associate Director, Clinical Data Management
Listed on 2026-09-03
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IT/Tech
Data Analyst, Data Engineering, Data Scientist, Data Warehousing
Associate Director, Clinical Data Management About Character Biosciences
Character Biosciences is a precision medicine company pioneering targeted therapies for ophthalmology. Our patient data platform integrates genomics with deep, longitudinal clinical and imaging data, enabling us to uncover genetic drivers of disease progression, advance novel therapeutics, and define patient stratification strategies that improve clinical success.
Our interdisciplinary team spans human genetics, clinical science, data science and engineering, and drug discovery and development. We are advancing two programs for Dry Age-related Macular Degeneration (AMD) into the clinic, with additional discovery-stage programs underway.
Founded in 2018, Character has raised capital from leading investors at the intersection of healthcare and technology, including an oversubscribed $110+ million Series B in 2025 co-led by aMoon and Luma Group, with participation from Bausch + Lomb, Innovation Endeavors, Sanofi Ventures, Catalio Capital Management, S32, KdT Ventures, and Jefferson Life Sciences. We also maintain a multi-target drug discovery collaboration with Bausch + Lomb to develop innovative precision medicines for AMD.
Role :
Associate Director, Data Management
Reports to: Aggie Malloy
Department: Clinical Research
Team: Development Operations
Level: 8
Location :
Remote
We’re looking for an experienced, independent-minded Associate Director, Data Management to build and lead Character’s Data Management activities and processes from the ground up. As Character’s first Data Management hire, you’ll lead the design and stand up the processes, systems, and vendor relationships that ensure clean, reliable, inspection-ready data across our Dry AMD clinical trials — from database build through database lock.
You’ll partner closely with the relevant cross-functional stakeholders to ensure the data underlying our clinical evidence is accurate, complete, and audit ready. This is a foundational role: the systems and standards you put in place will define how Character manages data as our pipeline and organization grow.
You’ll operate with a high degree of independence, including oversight of external DM vendors and CROs — without a built-out internal team to lean on initially.
Responsibilities Data Management Strategy & Vendor Oversight- Data Management Strategy: Lead the development of data management processes and execution across Character’s clinical trials, establishing Character’s Data Management functional processes as its first dedicated hire
- Vendor Oversight: Manage external Data Management vendors and CROs, holding them accountable for deliverables, timelines, and data quality
- Data Management Plans: Oversee the development of Data Management Plans (DMPs), defining data flow, roles, timelines, and quality standards for each study
- Cross-Functional Partnership: Partner with relevant internal stakeholders to align data collection with study design and analysis needs
- Database Build: Lead eCRF and database design, build, and testing (UAT) in the EDC system, ensuring the database reflects protocol and analysis requirements
- Edit Checks & Validation: Develop edit check specifications and data validation rules to identify and mitigate data quality issues in real time
- Data Cleaning: Drive data cleaning activities, including query management, external data reconciliation (labs, imaging, ePRO/eCOA, safety), and medical coding (MedDRA/WHODrug)
- Database Lock: Lead database lock activities, including SAE reconciliation and final data review, coordinating closely with Biostatistics for a timely, accurate lock
- Compliance: Ensure Data Management processes comply with GCP, 21 CFR Part 11, and applicable data privacy regulations; maintain inspection-ready DM documentation
You are a hands-on, independent-minded data management professional who’s ready to build Character’s Data Management processes from scratch. You’re comfortable owning the full data lifecycle — from database design through lock — and confident making sound decisions without an established playbook or a…
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