We Are Leidos

For more than 50 years we have been tackling some of the biggest problems that face our nation and our world.

OUR MISSION
Through our culture of innovation and history of performance, we develop deep customer trust built on integrity and create enduring solutions that improve our world. Leidos is a science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Va., Leidos reported annual revenues of approximately $11.09 billion for the fiscal year ended January 3, 2020.

Leidos was cited for the meaningful work employees perform that is challenging, impactful, and aligned with our customers’ missions as reasons professionals want to work and stay at our company. Leidos has also been named to lists including Forbes’ Best Employers for Diversity, Forbes’ America’s Best Employers for Women, Military Times Best for Vets Employers, and Ethisphere Institute’s World's Most Ethical Companies®.

Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Employees appreciate our flexible work environment, allowing for and encouraging a true work-life balance. Our professionals are also excited about our Employee Resource Groups, like the Collaborative Outreach with Remote and Embedded Employees (CORE), which strives to create an environment where every employee, regardless of location, feels fully engaged as a valued employee of Leidos.

Leidos is currently seeking a full-time Data Analyst to support the Deployment Health Research Department at the Naval Health Research Center in San Diego, CA. This position will support the Department of Defense (DoD) Birth and Infant Health Research (BIHR) team in their goals to examine reproductive health outcomes among military families and explore possible relationships between military service and reproductive health. The BIHR databases include large consolidations of DoD administrative and medical data, which are used to identify pregnancies and births among military families and define maternal and infant health outcomes. The Data Analyst will work closely and collaboratively with BIHR staff to support efforts across the full research project cycle.

This position is eligible for an on-site, hybrid (mixed on-site/telework) or remote work schedule. Applicants willing to work an on-site or hybrid work schedule are preferred.

Position Responsibilities

• Access various secondary data sources to extract relevant data and construct comprehensive, project-specific datasets
• Contribute to data management processes, including data verification, cleaning, quality assurance, merging, and preparing data requests
• Perform data abstractions and validation of medical diagnostic and procedural codes.
• Appropriately log the results of validation and re-validation efforts in written documentation and database logs as appropriate.
• Track and reports metric of validation efforts and identify procedures to improve processes.
• Develop algorithms to define health outcomes based on medical codes
• Use SAS to clean and analyze data and run statistical models including PROC LOGISTIC, REG, PHREG, FREQ, GLM, PROC SQL and more
• Prepare tables and graphs displaying research findings
• Maintain and update documentation on all processes and procedures, including data dictionaries and codebooks
• Prepare of study deliverables, including presentations, reports, and publications

Basic Qualifications

• Master’s degree in public health, epidemiology, or related field (eligible applicants include those currently in the final year of a Master’s program)
• 1-5 years’ work experience in public health, epidemiology, statistics or related field
• Experience with research design and statistical methodology for relevant research studies
• SAS competency with complex database management and data merging, cleaning, and verification processes
• Experience with or exposure to ICD-9/ICD-10 diagnostic coding and administrative medical claims data desirable
• Experience in maternal and infant health research desirable
• Experience using SAS to execute advanced analytic techniques (e.g., propensity score analyses) desirable
• Due to federal contract restrictions, candidate must be a U.S. citizen and able to obtain a Secret Clearance.