Date Posted January 11, 2021
Industry Private Sector BioStat Jobs
Specialty Not Specified
Job Status Not Specified
Salary Not Specified




The primary function of this position is to provide professional leadership, consulting skills, and expertise in the application of statistical theory and practice in support of ongoing investigations in NASA’s biomedical research laboratories. Responsibilities include critically analyzing clinical and research data, assimilating findings through the application of statistical principles and practices requiring comprehensive expertise, building visualizations to convey results, and effectively communicating methods and results to a variety of technical and management audiences with varying levels of statistical knowledge.

  • Serve as an expert statistical consultant for assigned research and occupational surveillance projects using clinical and experimental biomedical data.
  • Serve as a co-investigator or supporting personnel on NASA research proposals. Provide input on study design in support of proposed research questions. Produce statistical analysis plans and sample size justifications including power analysis, and support ongoing statistical needs throughout the research cycle.
  • Effectively communicate statistical concepts to non-statisticians (managers, researchers in other fields, etc.).
  • Develop effective data visualizations and tables to communicate insights.
  • Utilize statistical software such as SAS, Stata, R, or Python for data wrangling and analysis.
  • Utilize best practices in reproducible research in developing data processing and analysis products.
  • Serve as a statistical reviewer on NASA’s Institutional Review Board
  • Support the Human Systems Risk Board, as requested, in evaluating data to support quantifying likelihoods and expected consequences of space-related risk outcomes.
  • Develop statistical deliverables (i.e., analysis plans, methodology and statistical results sections, interpretation of results) for research and surveillance projects, clinical reports, presentations and manuscripts.
  • Participate in statistical reviews of ongoing projects to ensure appropriateness of statistical methodology, verify quality and accuracy of statistical analyses, and ensure accurate reporting and interpretation.
  • Draft and edit reports and manage long-term progression of papers, presentations or poster sessions, and NASA reports.
  • Participate in biostatistics team meetings to foster use of best practices and effective communication and collaboration among research and epidemiology groups.
  • Participate and present information in biostatistics and epidemiology community of practice meetings and educational forums.
  • Maintain current CITI Human Subjects Research - Biomedical Research certification.
  • Other tasks as directed.

a. PhD degree in Biostatistics, Statistics, or in a similar discipline.


b. Masters degree and at least 6 years of relevant work experience; including statistical consulting experience within biostatistical applications (medical health/behavioral health/physiology).

c. Demonstrated experience with multiple types of statistical analysis methods including generalized linear and nonlinear models with repeated measures, non-parametric modeling and analysis, Bayesian analysis, and survival analysis.

a. Experience in the design, development and execution of research grant proposals as well as the ability to document results for peer-reviewed publications
b. Demonstrated knowledge/consulting of study design and statistical approaches
c. Experience with the statistical complexities of working with clinical care/human physiological data
d. Successful experience working both independently and as part of a team on multiple concurrent projects
e. Demonstrated experience with collaborations supporting multiple research disciplines/specialties
f. Has authored/co-authored at least 2 paper in a peer-reviewed publication within the past two years


  • Minimum 5 years of experience in writing analysis code in statistical software packages such as SAS, R, Stata, MATLAB, etc.
  • Superior analytical, planning, problem solving, and decision-making skills
  • Excellent written and oral communication skills including effectively explaining complex statistical concepts to non-statisticians
  • Ability to work effectively in a multi-disciplinary setting
  • Ability to effectively manage multiple concurrent tasks and seek direction on competing priorities
  • Ability to be creative in developing tailor-made methods for analyzing “small-n” data sets strong knowledge of statistical methods, including advanced inferential statistical theory and methodology that can be applied to a variety of dependent measures
  • Ability to work with general linear models, longitudinal and multilevel modeling, generalized estimating equations, survival analysis, and a familiarity with Bayesian principles of modeling and analysis


  • Experience developing data visualizations in Tableau, R Shiny, or similar
  • Experience producing reproducible research products via software like R Markdown or similar
  • Ability to be creative in developing custom methods for analyzing “small-n” datasets
  • Experience with analysis of “Omics” data (e.g. sequencing, microbiome, gene expression, proteomics, etc.)

** Preliminary selected candidates will be expected to give a presentation to interested JSC Scientists

Scheduled Weekly Hours:


KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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