Qualitative Health Research Data Analyst
Listed on 2026-03-06
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Healthcare
Public Health, Data Scientist -
Research/Development
Public Health, Data Scientist
Description
Are you looking for a career that will make an impact?The Leidos Health & Services Sector is seeking a full-time Qualitative Data Analyst to support the Psychological Health and Readiness Department at the Naval Health Research Center, San Diego, CA. The qualitative data analyst will provide analytical support for several research projects including an evaluation of an existing military family readiness program and assessments of Sailor’s mental and behavior health, perceptions of cohesion and leadership, and their experiences with work-related stressors that may be unique to operational settings.
Areyou ready for unique and exciting work?
This is currently a hybrid position and employees are expected to come on-site to the Naval Health Research Center in San Diego a minimum of 2 days a week.
* This requirement is subject to change in the future based on contract requirements. In addition, the analyst may travel to collect data in operational settings and present research findings to Navy leadership and the scientific community. Candidate must be local to the San Diego area or willing to relocate.
The candidate will possess a deep understanding of qualitative research and implementation science methods, excellent communication skills, and a passion for converting qualitative data into evidence-based recommendations.
The successful analyst will conduct interviews and moderate focus groups with military populations, design qualitative data analysis methodologies, analyze qualitative data, and assist in the development of recommendations and products for dissemination.
Primary Job Responsibilities
Conducts one-on-one interviews and moderates focus groups with military populations
Assists with the preparation and management of multiple qualitative databases, including cleaning data, importing data, and preparing project codebooks
Maintains meticulous records of data analysis procedures and findings
Assists in the development of qualitative coding frameworks and definitions
Code qualitative data and participate in regular consensus building meetings with other analysts
Identifies overarching themes and subthemes in a variety of datasets including interviews and focus groups
Contribute to the development of briefs, presentations, reports, and infographics
Assists in the development of evidence-based recommendations for the improvement of the health and readiness of service members
Presents research findings and recommendations to military leadership at briefs, meetings, and professional conferences
Assists in identification of factors that may impact the implementation of recommendations in operational environments
Contributes to the creation of written products including grants, publications for peer review, briefs, and conference presentations
Requirements
Masters degree in health science, public health, psychology, or other health related discipline
Minimum of 2 years of significant research experience with qualitative data sets
Experience with ATLAS.ti, NVIVO, or other qualitative data analysis software
Experience with program and/or process evaluation
Ability to be a self-starter and work independently as well as in a multidisciplinary team.
Ability to plan and prioritize work.
Ability to communicate scientific findings to diverse audiences
Willingness to travel to operational environments in the U.S. and internationally.
Due to federal contract restrictions, candidate must be a U.S. citizen and able to obtain a Secret Clearance.
Must be local to the San Diego area or willing to relocate
Preferred Qualifications
PhD in health science, public health, psychology, or other health related discipline and at least 1 year of significant research experience with qualitative data sets
Familiarity with military populations and operational environments
Demonstrated ability to conceptualize and write complex documents such as project reports, technical reports, and manuscripts for peer-reviewed publication
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