Senior Data Manager/SAS programmer (Job 1424)

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/SAS programmer who, in collaboration with lead data managers and programmers, will provide both data management and statistical 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 data processing programs and automated data management workflows that support clinical research and public health programs. This position is responsible for building scalable data management 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 

• Lead data management activities for clinical, observational, and epidemiologic research studies from study start-up through database closeout, ensuring data are complete, accurate, and fit for purpose.
• Design, develop, and maintain study databases and data management processes, including data collection instruments, validation rules, data specifications, data cleaning procedures, and data transfer processes.
• Perform advanced SAS programming to clean, transform, validate, integrate, and manage complex research datasets and develop reusable and automated programming solutions.
• Develop and execute data quality and validation procedures, including programmed data checks, data reconciliation, discrepancy resolution, and independent QC of datasets, programs, and deliverables.
• Integrate and reconcile data from multiple sources, ensuring consistency, completeness, traceability, and appropriate documentation of data transformations and decisions.
• Develop and maintain study datasets, reports, extracts, and data releases to support investigators, statisticians, and other study stakeholders, including interim data cuts and final study deliverables.
• Provide technical leadership and mentorship to data management and programming staff, including work planning, risk identification, technical guidance, and promotion of consistent programming and QC practices.
• Collaborate with cross-functional teams and ensure compliance with study requirements, organizational SOPs, applicable regulatory and privacy requirements, and established data management and programming standards.

Qualifications

• B.S. degree in computer science, health sciences, or other related field; seven or more years of experience with programming and data management in health research. OR,
• M.S. degree in computer science, health sciences, or other related field; five or more years of experience with programming and data management in health research.
• Advanced SAS programming capabilities, including extensive experience with DATA and PROC steps, macro programming, data transformation and integration, complex data validation, and development of efficient, reusable programming solutions.
• Demonstrated experience managing complex research data, preferably within clinical, observational, epidemiologic, or other biomedical research studies.
• Strong understanding of the full research data lifecycle, including study start-up, database development, data collection, data cleaning, reconciliation, quality control, data delivery, and database closeout.
• Experience integrating and reconciling data f