To our valued Leidos candidates:

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Job #: R-00050152
Location: San Diego, CA
Category: Statistician
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: Yes, 25%
Clearance: Secret
Referral Eligibility: Eligible
Group: Health

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Job Description:

Leidos’s Military & Veterans Solutions Health Group is currently seeking a full-time Research Statistician to support the Warfighter Performance Department at the Naval Health Research Center in San Diego, CA. This position will provide direct support to the Sleep, Tactical Efficiency, and Endurance Laboratory (STEEL) and collaborating military commands and institutions. The candidate will help conduct research related to the US Navy’s Culture of Excellence (COE) program, which seeks to achieve organizational excellence by fostering psychological, physical, and emotional toughness; promoting organizational trust and transparency; and ensuring inclusion and connectedness among Sailors. This position will contribute to research protocol design, perform coding for research studies, provide programming support (e.g., in R or Python), perform data analysis, maintain databases, and assist with interpreting and reporting results for research studies aimed at improving Sailor performance, health, and well-being. 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. The ideal candidate will be motivated, detail-oriented, able to take initiative, and work well both independently and as part of a team.

Primary Responsibilities

  • Conduct analyses of both quantitative and qualitative data obtained from personnel, medical and administrative US Navy data sources (e.g., NSIPS, ADMITS, AHLTA, OPREP-3, DEOCS, RMI, PERSTEMPO, DSAID, PRIMS, MRRS, etc.) in order report on and guide the development of corresponding policies and programs (e.g., interventions, prevention, training, etc.).
  • Work with Principal Investigators, researchers, and other members of the research team to refine research methodology, manage data, provide coding and programming expertise for research studies, apply statistical methods, and interpret results to appropriately answer study questions.
  • Conduct research efforts that include but are not limited to: performing literature reviews; contributing to the design of experimental and observational studies; and coordinating data collection.
  • Analyze and interpret data based on the extant scientific literature and input from subject matter experts, guided by the aim of identifying useful predictive or explanatory variables, relationships, and trends.
  • 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 to create analytics-friendly datasets for research projects.
  • Maintain and update documentation on all processes and procedures, including data dictionaries and codebooks.
  • Conduct statistical analyses using various statistical programs and languages such as SPSS, SAS, R, and/or Python. These can include but are not limited to logistic regression, analysis of variance, survival analyses, equivalence testing, among other techniques, as required. Familiarity with Bayesian approaches to analysis as well as machine learning techniques (e.g., ensemble learning, association rule analysis) is also desired. An ability to learn about and how to apply new techniques or approaches as they become available is a must.
  • Use a literate programming approach to analysis, such as R Markdown or Pweave in Python, in which code can be embedded in final report products.
  • 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.
  • Effectively shift between projects as needed for customer priorities and on-time deliverables.
  • Effectively communicate with customer, manager, and key stakeholders on project progress.
  • Model Leidos Mission, Vision, and Values at all times.

Basic Qualifications

  • Master’s Degree in Statistics, Biostatistics, Public Health, Physiology, Research Psychology, Behavioral Science, Neuroscience, or similar quantitative research-focused field from an accredited university required. Degrees must be recognized by the US Department of Education (; foreign degrees require a Certificate of Foreign Equivalency (see
  • 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.
  • 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.

Preferred Qualifications

  • 3 or more years of experience in programming, coding, and conducting statistical analyses for human subjects research projects.
  • Experience in research with military populations.
  • Active Secret Clearance.

External Referral Bonus:


Potential for Telework:

Yes, 25%

Clearance Level Required:




Scheduled Weekly Hours:




Requisition Category:


Job Family:


Pay Range:


About Leidos

Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 38,000 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. For more information, visit

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected].

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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