Senior Research Scientist
San Diego, CA
Leidos is currently seeking a full-time Senior Research Scientist to support the Deployment Health Research Program at the Naval Health Research Center in San Diego, CA. This position will provide research and analytic expertise for large, military-focused health research studies with a focus on chronic disease, environmental, and/or occupational epidemiology. The successful candidate will also be involved the planning and implementation of large health studies; designing the study methodology; performing statistical analyses for research projects focused on chronic diseases with complex study designs; working with team members to derive an in-depth understanding of the data findings drafting proposals and writing peer-reviewed publications. The Research Scientist will work closely with the studies’ leadership and stakeholders, including Principal Investigators, military personnel, subject matter experts, consultants, analysts, and research support personnel.
Due the COVID-19 pandemic, employees are highly encouraged to work remotely from their home office, although occasional visits to the Naval Health Research Center in San Diego will be required. Longer term, this position will be required to be on-site at the Naval Health Research Center a minimum of 2 days a week.
Participates in all aspects of the research process including survey design, data collection and management, and data analysis and interpretation.
Provides research and analytic support for study design, implementation, and analyses of deployment health research projects, with a focus on chronic disease, environmental, and/or occupational epidemiology.
Develops protocols and proposals including conducting literature reviews and writing of the scientific background, study methodology, and data analyses. Additionally, writes the interpretation of data findings in the context of ongoing research objectives and publishes findings.
Provides study team with individual and group-level teaching and mentorship, and helps review the analyses and writing of other team members for scientific rigor and accuracy.
Develops algorithms and writes programs to clean, merge, and update variables/datasets from large epidemiologic studies. Runs programs to create final datasets for this large study program ensuring accuracy. Familiarity working with medical record data strongly preferred.
Performs and helps interpret statistical analyses using SAS and MPlus, including data manipulations, weighting techniques, logistic regression, general linear models with repeated measures, survival analyses, and other statistical techniques for longitudinal and missing data.
Designs and manages numerous research projects simultaneously. Works as a member of a team to conduct scientific research projects focused on chronic disease outcomes and leads cross-functional project teams.
Writes reports and scientific manuscripts for peer-reviewed professional journals.
Delivers presentations to the Department and at various national and international scientific and military conferences.
Provides knowledge and insight to principal investigator for new study ideas and long-term goals and objectives.
Provides scientific and statistical consulting services and direction for the Department.
Reviews and remains current with technical and scientific literature and study outcomes of interest.
Master’s degree in psychology, public health, epidemiology, biostatistics, or related field and a minimum of 8 years of progressively responsible research experience OR a doctoral level degree in Public Health, Psychology, Epidemiology, Biostatistics or a related field and a minimum of 6 years of progressively responsible research experience.
Authorship on 3 or more peer-reviewed publications
Due to federal contract restrictions, candidate must be a U.S. citizen and able to obtain a Secret Clearance.
Required Knowledge, Skills, and Abilities:
Knowledge in survey methodology and statistics used to collect an interpret data.
Demonstrated expertise in designing and implementing statistical experiments.
Knowledge and proficiency of statistical and/or mathematical software, such as SAS and MPlus.
Skilled in developing and writing grant proposals.