SSS, a DLH Corporation company, serves federal government clients throughout the United States and abroad delivering technology enabled solutions in key health and human services programs. The Company's core competencies include secure data analytics and statistics, clinical trials and laboratory services, a full suite of public health research offerings, performance evaluation, system modernization, operational logistics and readiness, and strategic digital communications. DLH has over 2,000 employees serving numerous government agencies. DLH’s portfolio consists of Defense & Veteran Health Solutions, Human Services Solutions and Public Health & Life Sciences.
We are currently seeking a data manager/SAS programmer who, under the direction of the senior data managers and programmers, will provide both data management and programming support for federally funded clinical research and epidemiological studies funded by the National Institute of Environmental Health Sciences. The goal of these studies is to investigate the impact of the environment on human health and well-being. You will be part of a multi-disciplinary team that includes other data managers and SAS programmers, epidemiologists, and operations staff. You will play a critical role in the management of data for these studies by developing programs that support the full lifecycle of a study. You will develop programs to build study datasets and monitor the quality of the data collected as well as to generate reports to inform the progress of the studies and to summarize the study data from a scientific and operational perspective. Ultimately, you will develop the final analysis datasets and assist with the statistical programming that results in publications in scientific journals. This position offers many opportunities for professional development, innovation, and collaboration across disciplines.
Writing, testing, and revising SAS programs
Creating and interpreting reports for internal and external study monitoring purposes
Constructing code books and format files
Creating analytical datasets
Fulfilling data requests for internal and external clients
Contributing to the development and implementation of data management plans
Developing, testing and validating data collection procedures and data management systems, including REDCap and CTDB
Ensuring quality by following established standards and procedures
Supervising work and mentoring of junior staff as needed
Complying with federal regulations, client guidelines, corporate SOPs, and project work instructions related to data management
B.S. or M.S. degree in computer sciences, health sciences, or other related field; three or more years of SAS programming and data management experience in health research which includes writing SAS programs for cleaning, monitoring, and reporting of study data as well as writing SAS programs to generate analytical datasets
Must have familiarity with relational databases and electronic data capture systems
Experience with other statistical software such as STATA and R is highly desirable
Excellent verbal and written communication skills; strong analytic and organizational skills, and excellent attention to detail
Able to work well in team environment and independently
Experience with epidemiological or clinical research studies sponsored by the federal government preferred
DLH is committed to fostering a diverse workforce and is proud to be an Affirmative Action/Equal Opportunity Employer of Minorities/Women/Protected Veterans/Individuals with Disabilities. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, age, national origin, veteran status, disability, or any other classification protected by law.
Internal Number: 1936
DLH provides technology-enabled business process outsourcing and program management solutions, primarily to improve and better deploy large-scale Federal health and human service initiatives. DLH delivers professional healthcare and public services to several Government agencies including the U.S. Department of Defense, U.S. Department Health and Human Services, U.S. Department of Veterans Affairs, National Institutes of Health (NIH), Centers for Medicare and Medicaid Services (CMS) and many more.