Biostatistician, Data Scientist – Contract, Part-Time

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Total Life

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2020

🧘 Wellness

⚕️ Healthcare Insurance

📡 Telecommunications

💰 Seed Round on 2022-01

Wellness • Healthcare Insurance • Telecommunications

Total Life is an online therapy service specifically designed for seniors. The company provides mental health counseling and therapy through virtual means, making access to support easy and convenient for older adults, particularly those covered by Medicare. Total Life offers personalized care through experienced therapists licensed to work in seniors' states, focusing on conditions such as anxiety, depression, cognitive decline, and chronic pain. Their services include individual, group, family, and couples therapy, ensuring comprehensive support tailored to seniors’ needs, often covered by Medicare to reduce financial burden.

📋 Description

• Lead the statistical thinking behind this work — design and analysis, not just execution • 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

🎯 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