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

> Total Life, Inc. · United States (Remote) · — · Posted 2026-07-22

**Workplace:** remote

## Description

**About Total Life**  
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.

**The research**  
We are building a research program around a simple but underexplored idea: most suicide-risk detection treats risk as a fixed state, measured once. We want to test whether the _dynamics_ already present in routine care — how symptom scores move over time, and how patients engage with care as those symptoms change — carry information about near-term risk that standard one-time screening misses. The initial project is a **retrospective study on fully de-identified data** (no new data collection, no patient contact), developing and validating a multimodal risk-detection model and quantifying its incremental value over standard screening. This work is being submitted for federal research funding, and the person in this role would be a **named co-investigator** on that application.

**The role**  
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

**What we're looking for**

-   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

**Engagement**  
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.

## Apply

[Apply at Total Life, Inc.](https://apply.workable.com/total-life/j/C9C7DA7FD0/apply)

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