Leidos is seeking a full-time Data Analyst/Research Scientist to support the Health and Behavioral Science Department at the Naval Health Research Center, San Diego, CA. The candidate will provide statistical and analytical support for research relating to Traumatic Brain Injury (TBI) and blast-related exposures; plan and perform statistical analyses for research projects with complex study designs; consult with team members to derive an in-depth understanding of the hypotheses and experimental approaches; exercise independent judgment in the resolution of analytical problems while working in a team environment.
Due the COVID-19 pandemic, employees are highly encouraged to work remotely from their home office, although 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. Long-term 100% telework will not be considered for this position.
Provides statistical guidance and support to the Principal Investigator and other team members.
Performs data manipulations and statistical analyses using R, SPSS and/or SAS. Conducts various types of analyses using logistic regression, analysis of variance, survival analysis, latent class analysis and other techniques as required.
Performs data manipulations and statistical analyses using military medical records to identify health trends.
Designs requirements and maintains research databases for analysis.
Maintains meticulous records of data analysis procedures and findings.
Assists in writing reports and scientific manuscripts for peer-reviewed professional journals.
Contributes to the team effort by accomplishing related duties as needed.
Master’s degree in statistics or relevant social science field (e.g., epidemiology, public health, psychology) with heavy quant focus and at least 4 years of significant research experience with large, complex medical records datasets
Knowledge of statistics and R, SAS and/or SPSS programming.
Experience with manipulation of large datasets and databases.
Knowledge of statistical techniques for handling missing data.
Knowledge; analysis of variance, including repeated measures; logistic regression; analysis of variance; survival analysis; latent class analysis
Skilled in writing abstracts, articles, presentations and proposals.
Ability to be a self-starter and work independently as well as in a team. Ability to plan and prioritize work.
Due to federal contract restrictions, candidate must be a U.S. citizen and able to obtain a Secret Clearance.
PhD in statistics or relevant social science field (e.g., epidemiology, public health, psychology) with heavy quant focus and at least 1 year of significant research experience
Demonstrated familiarity with the Military Health System Data Repository and/or other large complex military databases
Demonstrated experience preparing military research documents, including military data-sharing agreements and IRB protocols
Demonstrated ability to conceptualize and write complex documents such as project reports, technical reports, and manuscripts for peer-reviewed publication