Space Food Bayesian modeling

NASA's Shared Services Center seeks Bayesian statistical modeling and analysis services for space food shelf-life testing, with quotes due August 11, 2026 at 1 p.m. Central Time. The procurement is set aside for small business.

Place of performance is Houston, Texas 77058. The contractor must develop Bayesian statistical models analyzing NASA's existing nutrient and sensory data on 24 foods and beverages tested at three temperatures and four storage timepoints over five years, with limited data at a fourth temperature and seven-year mark, plus sensory data on nine condiments. Five mandatory competencies are required: Bayesian Statistics, Decision Theory, Data Science, experience with NASA nutrition testing, and food science/testing background.

Deliverables include Bayesian statistical models, statistically-based recommendations identifying additional foods requiring testing and required storage years and testing duration for nutrition parameters, and a detailed rationale report demonstrating how the analysis extrapolates to the final food menu of over 200 items. The analysis must address risk assessment associated with extrapolating tested food results to untested foods within the expanded menu portfolio.

The NAICS code is 541715, PSC code is B599. Award will be made to the lowest-price technically acceptable offeror; technically unacceptable offers will be rejected. The contract will be firm fixed-price with total amount TBD. Quotes must be submitted in PDF form via email to Cara Craft at cara.s.craft@nasa.gov. Technical and contractual questions are due by August 10, 2026 at 1 p.m. Central Time. Offerors must be registered in SAM.gov; quotes remain valid for 30 days unless otherwise stated.