Biostatistician

About Us

At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".

We’re looking for an independent contractor Biostastician (5-months) to temporarily support designing studies, developing normative models, and producing the kind of rigorous, reproducible statistical work that can stand up to regulatory scrutiny, including on projects with a path to FDA submission.

At Prenuvo, our AI models help clinicians detect disease earlier than has ever been possible at scale, and the work you'd be doing here directly shapes how those models are validated, trusted, and adopted.  

This hybrid role is based in Vancouver.  We expect you to be technically credible enough to review model architectures, challenge assumptions, and roll up your sleeves when it matters. We also expect you to build a team environment where people do their best work.

This role does not provide visa sponsorship. Applicants must be legally authorized to work in Canada at the time of hire and must not require employer sponsorship for a work visa (current or future).

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!

What You’ll Do

• Deliver priority sampling plans, validation datasets, statistical plans, and analyses on schedule.
• Align sample size, endpoints, subgroup analyses, and model acceptance criteria before validation starts.
• Keep every sampled or resampled dataset versioned, logged, reproducible, and traceable to its source cohort.
• Validate and monitor normative models, including quantile crossing and sparse extreme groups.
• Execute cohort design, sampling, and matched resampling from reproducible criteria.
• Create study designs, including sample size, power, endpoints, analysis plans, and acceptance criteria.
• Perform specialized model evaluation, including subgroup, lesion-level, correlation, and agreement analyses.
• Inform normative-model development, providing insight for clinical alignment, validation, and monitoring.