Biostatistician / Data Scientist (Contract, Part-Time - Research Collaboration)

You would lead the statistical thinking behind this work - design and analysis, not just execution. Specifically:

• Serve as co-investigator on a federally funded research application (biosketch and defined effort commitment required)
• Design the statistical and validation plan: power / sample-size analysis for a rare-event outcome, model evaluation, discrimination and calibration, temporal validation
• Advise on analytic methods for de-identified behavioral-health and claims data, including de-identification standards
• Partner with our clinical and engineering teams to guide model development and interpret results responsibly

• PhD (or equivalent) in biostatistics, statistics, or a closely related field
• Demonstrated experience building risk-prediction models, ideally with EHR, claims, or longitudinal healthcare data
• Working knowledge of rare-event / class-imbalance methods and prediction-model reporting standards (e.g., TRIPOD)
• Comfort with de-identified clinical data and methods such as HIPAA Expert Determination
• US-based and able to be named on a US federal (DoD/NIH) research application
• Prior experience on federally funded research (NIH/DoD) is a strong plus

Part-time / contract, remote. Compensation commensurate with experience and scope. Immediate start preferred given active research timelines, with potential to grow alongside our research program.

Total Life is a behavioral health telehealth practice serving older adults, with 200+ licensed clinicians across 49 states. Most of our patients reach us through Medicare and commercial insurance, and a large share are aging adults who fall outside traditional VA and specialty mental-health infrastructure. Because we deliver care remotely and repeatedly over time, we hold something unusual: dense, longitudinal behavioral-health measurement on an older-adult population that is rarely captured at this scale or cadence.