Senior Data Manager/REDCap Programmer (Job 1423)

About Us

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that “Your Mission is Our Passion” and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

We are currently seeking a Senior Data Manager/REDCap programmer who, in collaboration with lead data managers and programmers, will provide both data management and electronic data capture (EDC) programming support for federally-funded and commercially-funded clinical research and epidemiological studies. You will be part of a multi-disciplinary team that includes other data managers and programmers, epidemiologists, and operations staff. You will play a critical role in the collection and management of data for these studies by developing databases, workflows, and reports to support the full lifecycle of a study. You will lead the design and implementation of complex REDCap databases, API-based integrations, and automated data management workflows that support clinical research and public health programs. This position is responsible for building scalable data collection systems, streamlining data exchange, and implementing robust quality assurance processes to maximize data integrity. This position offers many opportunities for professional development, innovation, and collaboration across disciplines.

Responsibilities

• Designing and implementing advanced REDCap databases, including longitudinal projects, repeating instruments/events, complex branching logic, calculated fields, piping, and custom workflows to support clinical research and public health studies
• Developing and maintaining integrations between REDCap and external systems using APIs, including automated imports/exports, ETL processes, scheduling, authentication, and data synchronization with research databases, EDC systems, and reporting platforms
• Developing automated data validation rules, discrepancy reports, quality assurance processes, and monitoring dashboards to identify missing, inconsistent, or invalid data and improve overall data integrity