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

About the role

Total Life is a behavioral health telehealth practice serving older adults, with 200+ licensed clinicians across 49 states. Most 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. We hold unique longitudinal behavioral-health measurement on an older-adult population that is rarely captured at this scale or cadence.

Responsibilities

• Lead the statistical thinking behind a federally funded research application
• Design and analyze the statistical and validation plan for a rare-event outcome, including power/sample-size analysis, model evaluation, discrimination and calibration, and temporal validation
• Advise on analytic methods for de-identified behavioral-health and claims data, including de-identification standards
• Partner with the clinical and engineering teams to guide model development and interpret results responsibly

Requirements

• 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

Qualifications

• Expertise in statistical modeling and analysis
• Experience with de-identified clinical data and HIPAA compliance
• Strong communication skills to collaborate with clinical and engineering teams

Skills

• Statistical modeling and analysis
• Rare-event/class-imbalance methods
• De-identified clinical data handling
• Collaborative problem-solving

Benefits

Immediate start preferred given active research timelines, with potential to grow alongside our research program.

Pay

Compensation commensurate with experience and scope.

Schedule

Part-time / contract, remote.