Leidos
Biostatistician
Salary
Job description
On the Human Health and Performance Contract, we are at the forefront of safeguarding astronaut health, optimizing human performance, and advancing technologies for human space exploration. We are seeking a Biostatistician to support these efforts at 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. Responsibilities include designing robust statistical methodologies, analyzing complex datasets, and ensuring compliance with regulatory standards to advance scientific understanding and operational decision-making.
Must be a U.S. Citizen or U.S. Permanent Resident due to the length of investigation required for non-U.S. persons.
Primary Responsibilities:
Study Design & Analysis
Develop statistical plans for experimental and observational studies
Perform power analyses and sample size calculations
Apply advanced statistical techniques, including mixed-effects models, survival analysis, and Bayesian inference
Data Management & Modeling
Clean, structure, and validate large, multidimensional datasets
Build predictive models and conduct longitudinal data analysis
Implement machine learning approaches for biomedical and physiological data
Regulatory & Compliance
Ensure adherence to FDA, IRB, and GLP standards
Document statistical methodologies for audits and peer review
Collaboration & Communication
Collaborate with human health and performance researchers, clinicians, and engineers
Present findings through clear visualizations and technical reports
Required Education, Qualifications, and Experience
Master’s in Biostatistics, Statistics, or a related field, with at least 3 years of experience. Progress towards a relevant PhD may be considered experience.
Strong foundation in experimental design and clinical research statistics
Proficiency in statistical software such as R, SAS, Stata, and/or Python (including libraries such as Pandas, SciPy, and Statsmodels)
Expertise in advanced statistical methods (e.g., Bayesian, multivariate, longitudinal analysis)
Experience in human performance, spaceflight health, or aerospace medicine research
Familiarity with regulatory compliance and ethical standards in human research
Experience with data visualization tools (e.g., ggplot2, matplotlib) and machine learning frameworks
Desired Skills & Performance Metrics:
Accuracy & Quality of Analysis
Percentage of statistical models validated and approved without major revisions
Timeliness
Average turnaround time for delivering statistical reports and analyses
Regulatory Compliance
Zero compliance violations in IRB, FDA, or GLP audits
Impact on Research Outcomes
Number of studies where statistical input significantly influenced design or conclusions
Collaboration Effectiveness
Positive feedback from interdisciplinary teams on clarity and usefulness of statistical insights
Innovation & Continuous Improvement
Implementation of advanced methods (e.g., Bayesian, machine learning) in a defined percentage of projects annually
What to Expect:
This position is 100% on-site and 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:
April 27, 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 $87,100.00 - $157,450.00The 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.
