Lead Data Manager/SAS programmer (Job 1425)

About this role

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 Lead Data Manager/SAS Programmer who will provide senior-level leadership, technical direction, and data management and statistical programming expertise for federally funded and commercially funded clinical research and epidemiological studies. You will be a senior member of a multidisciplinary team that includes data managers and programmers, epidemiologists, statisticians, and operations staff. You will play a critical role in establishing technical approaches and standards for the collection, management, integration, and delivery of research data across the full lifecycle of complex studies.

This position will lead the design and implementation of complex data management systems, data processing programs, and automated workflows that support clinical research and public health programs. You will provide technical oversight for study data management and programming activities, identify opportunities to improve efficiency and standardization, and guide the development of scalable solutions that support data quality, integrity, and reproducibility. This position will also serve as a senior technical resource and mentor for data management and programming staff, providing guidance on complex technical challenges and promoting consistent, high-quality practices across projects. This position offers significant opportunities for professional development, innovation, and collaboration across disciplines.

Responsibilities

• Provide senior technical leadership and oversight for data management and programming activities across clinical, observational, and epidemiologic research studies, from study start-up through database closeout.

• Lead the development of technical approaches and study data strategies, including database architecture, data workflows, data specifications, collection instruments, validation rules, data integration processes, and data delivery requirements.

• Design, develop, and oversee complex SAS programming solutions for cleaning, transforming, validating, integrating, and managing research data, including reusable and automated programming frameworks.

• Establish and oversee data quality and validation processes, including programmed data checks, data reconciliation, discrepancy resolution, QC procedures, and review of complex datasets, programs, and technical deliverables.

• Provide technical direction for the integration and reconciliation of data from multiple sources, ensuring data integrity, consistency, completeness, traceability, and appropriate documentation of data transformations and decisions.

• Oversee the development and delivery of study datasets, reports, extracts, interim data cuts, and final data deliverables, ensuring that technical solutions meet study requirements and organizational standards.

• Develop and promote standardized, scalable, and efficient data management and programming practices, including automation, reusable programming solutions, version control, documentation standards, and continuous process improvement.

• Provide technical mentorship and oversight to data management and programming staff, including reviewing technical approaches, guiding resolution of complex data issues, supporting work planning and prioritization, and promoting consistent programming and QC practices.

• Serve as a senior technical advisor and collaborator to investigators, statisticians, epidemiologists, and operations staff, translating scientific and operational requirements into effective data management and programming solutions.

• Contribute to organizational standards, processes, and best practices for research data management and programming, and ensure activities comply with study requirements, organizational SOPs, applicable regulatory and privacy requirements, and established data standards.

Qualifications

• B.S. degree in computer science, health sciences, statistics, data science, or another related field, with ten or more years of progressively responsible experience in programming and data management for health research. -OR-

• M.S. degree in computer science, health sciences, statistics, data science, or another related field, with eight or more years of progressively responsible experience in programming and data management for 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, and automated programming solutions.

• Extensive experience managing complex research data, preferably within clinical, observational, epidemiologic, or other biomedical research studies, with demonstrated experience leading data management activities for complex studies.

• Expert understanding of the full research data lifecycle, including study start-up, database architecture and development, data collection, data cleaning, reconciliation, quality control, data delivery, and database closeout.

• Demonstrated ability to provide technical direction and oversight for complex data management and programming activities, including defining technical approaches, evaluating solutions, identifying risks, establishi

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