Data Analyst II - PED

Join the HJF Team! Job Description

HJF is seeking a Data Analyst II to provide analytic support to epidemiologists, biostatisticians and scientists and ensure data quality and data integrity.
This hybrid position supports the work of the Divisions of Military Child and Family Research and Health Systems Research and Clinical Epidemiology in the Department of Pediatrics at the Uniformed Services University of the Health Sciences in Bethesda, MD.
The Data Analyst II will be responsible for data extraction, management, cleaning and analysis associated with pediatric research projects drawing upon military healthcare data, and will support other Pediatric projects as needed. The successful candidate will collaborate with principal investigators, epidemiologists, and other data analysts and managers to establish data requirements. They will structure, manipulate and clean and analyze data to meet research needs in SAS.

Data quality control, data updates and merges, statistics, data queries, streamlining/ developing efficiencies for data processes, regulatory oversight, and scientific graphics are all key tasks. This position reports to Principal Investigators and receives daily supervision from team Epidemiologists. This is the second of three levels in the Data Analyst hierarchy.
The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners.

HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.

• Writes SAS programs for data extraction, cleaning, structuring, validation, and analysis, as well as preparing data for presentation and publication to support the work of Principal Investigators.
• Recommends operating methods to improve processing, distribution, data flow, collection and database editing procedures.
• Ensures data quality through:
• Making recommendations concerning the outline of data requirements and data structuring based on research goals in consultation with project leaders and end users.
• Testing data to identify integrity, validity and quality issues.
• Troubleshooting problems concerning database records.
• Communicating and discussing solutions-oriented recommendations to co-workers and end users.
• Provides knowledge management through:
• Assisting investigators in preparation of results for presentation.
• Documenting methods and outcomes for use by the research team.
• Contributing to writing of research reports and scientific publications as requested, with particular focus on methods and results.
• Supporting drafting of elements of research grants, protocols, and data sharing agreement documentation.
• Maintains subject matter expertise through a current working knowledge of all military health system data systems and resources to advise Investigators on appropriate data for their research goals.
• Develops knowledge and skills in research design and data analysis to best answer questions of interest that advance the work of the group. Assists in making data from MHS databases and other data sources accessible to researchers and other users to answer research questions of importance.
• Ensures compliance with regulatory and ethical requirements for data security during human subjects’ data acquisition, transfer, storage, analysis and archiving.
• Provides assistance and training to new research team employees or research personnel when new protocols begin or as new data extraction or analysis work is needed.
• May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for the role.

• Bachelor's Degree Required;
  Master’s Degree Preferred
• Minimum of 3-5 years experience required

• Must have strong SAS skills.
• Demonstrated statistical and analytical experience, skills and passion for analyzing data including logistic, linear, and Poisson regression modeling. Other modeling experience such as hazards regression, GEE, etc would be a plus.
• Knowledge and application of data cleansing and migration techniques.
• Ability to investigate data issues and participate in remediation activities.
• Ability to review detailed documents to validate data in operating systems.
• Experience and willingness to write up methods and results, and perform data visualization.
• The following are not required but are highly valued:
• Knowledge of R, Python and/or ArcGIS software.
• Familiarity with ICD-9 and ICD-10 coding.
• Familiarity with or some experience with qualitative…