Biostatistician-PhD - Remote

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. 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

on that application.

You would 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

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

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