Research Data Analyst ( R-00067542 )
The Leidos Military & Veterans Solutions Health Group is currently seeking a full-time Research Data Analyst to support the Warfighter Performance Department at the Naval Health Research Center in San Diego, CA. This position will support the Sleep, Tactical Efficiency, and Endurance Laboratory (STEEL) with the development of research protocol design, coding for research studies aimed at improving warfighter performance. The successful candidate will work closely and collaboratively with Principal Investigators, project managers, research assistants, and subject matter experts to identify ways to answer complex mental and physical health questions with data collected from human subjects research protocols. The ideal candidate will be motivated, detail-oriented, able to take initiative, and work well both independently and as part of a team. The ideal candidate will also be proficient in using R primarily (but Python and Julia would also be valuable), and should have a deep interest in cultivating best practices in programming (e.g., writing efficient, function-driven code; experience using the Tidyverse, and some understanding of the principles behind its philosophy) and maintaining complicated project structures. An aesthetic appreciation for what good code looks like is also a big plus. A successful candidate must be able to model the Leidos Mission, Vision, and Values at all times.
Specifically, the candidate will be required to:
Work with Principal Investigators, scientists, and other members of the research team to refine research methodology, construct databases, provide coding and programming expertise for research studies, apply statistical methods, and interpret results to appropriately answer study questions.
Access various secondary data sources to extract relevant data and construct comprehensive, project-specific datasets.
Lead data management processes, including data verification, cleaning, quality assurance, and merging.
Perform data manipulations and transformation on raw data using R to create analytics-friendly datasets for research projects (e.g., tidy datasets). Additional experience with Python or Julia would also be desirable.
Maintain and update documentation on all processes and procedures, including data dictionaries and codebooks.
Conduct statistical analyses using R (primarily, but Python and Julia would also be desirable). Familiarity with a broad range of statistical techniques, to include traditional (e.g., logistic regression, standard least squares regression, analysis of variance, etc.) and machine learning techniques (e.g., random forest, CART, etc.). Experience with more specific kinds of techniques, such as survival analysis, equivalence testing, structural equation modeling, Monte Carlo simulation, Bayesian analysis, among others, would be highly desirable.
Develop statistical plans for research proposals and research protocols, determining appropriate subject numbers required for successful study completion.
Contribute to the preparation of study deliverables, presentations, reports, and publications.
Master’s Degree in Biostatistics, Public Health, Physiology, Psychology, Neuroscience, or related field
2 or more years of experience with coding and programming for research studies
2 or more years of experience in conducting statistical analyses for human subjects research projects.
Experience in literate programming practices (e.g., using R Markdown to produce reproducible reports with embedded code; automating this process).
Must be a U.S. Citizen and able to obtain a Secret Clearance
Able to travel locally, nationally, and internationally as needed for meetings and conferences
3 or more years’ experience in programming, coding, and conducting statistical analyses for human subjects research projects
Demonstrated experience programming with Python or Julia for research projects.
Experience in research with military populations
Active secret clearance