Job Description

On the Human Health and Performance Contract we are at the forefront of safeguarding astronaut health, ensuring human performance, and advancing technologies for human space exploration. We are seeking a Biostatistician at the NASA Johnson Space Center (JSC) in Houston, TX.In this role, you will support advanced life sciences research initiatives, including human performance and spaceflight health studies. This role involves designing robust statistical methodologies, analyzing complex datasets, and ensuring compliance with regulatory standards to advance scientific understanding and operational decision-making.Must be U.S. Citizen or U.S. Permanent Resident due to length of investigation for non-U.S. persons.Primary Responsibilities:Study Design & AnalysisDevelop statistical plans for experimental and observational studies.Perform power analysis and sample size calculations.Apply advanced techniques such as mixed-effects models, survival analysis, and Bayesian inference.Data Management & ModelingClean, structure, and validate large, multidimensional datasets.Build predictive models and conduct longitudinal data analysis.Implement machine learning approaches for biomedical and physiological data.Regulatory & ComplianceEnsure adherence to FDA, IRB, and GLP standards.Document statistical methodologies for audits and peer review.Collaboration & CommunicationWork closely with human health and performance researchers, clinicians, and engineers.Present findings through clear visualizations and technical reports.Required Education, Qualifications and Experience:Master’s or Ph.D. in Biostatistics, Statistics, or related field; with at least 5 years of experience.Strong foundation in experimental design and clinical research statistics.Proficiency in analysis software such as R, SAS, Stata, and/or Python (including libraries such as Pandas, SciPy, Statsmodels).Expertise in advanced statistical methods (Bayesian, multivariate, longitudinal).Research in human performance, spaceflight health, or aerospace medicine.Familiarity with regulatory compliance and ethical standards in human research.Experience with data visualization tools (ggplot2, matplotlib) and machine learning frameworks.Desired Skills:Accuracy & Quality of AnalysisPercentage of statistical models validated and approved without major revisions.TimelinessAverage turnaround time for delivering statistical reports and analyses.Regulatory ComplianceZero compliance violations in IRB/FDA/GLP audits.Impact on Research OutcomesNumber of studies where statistical input significantly influenced design or conclusions.Collaboration EffectivenessPositive feedback scores from interdisciplinary teams on clarity and usefulness of statistical insights.Innovation & Continuous ImprovementImplementation of advanced methods (e.g., Bayesian, ML) in at least X% of projects annually.What to Expect:This position is expected to be 100% on site and 100% in person. Occasional travel may be required.If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.Original Posting:March 10, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.Pay Range:Pay Range $107,900.00 - $195,050.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.SummaryLocation: Houston, TXType: Full time Leidos

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