What You'll Do:
- Designing rigorous observational research frameworks that move beyond correlation toward defensible causal inference
- Addressing confounding, selection bias, missingness, and other structural challenges in real-world healthcare data
- Extracting outcome intelligence from newly acquired longitudinal practitioner datasets
- Connecting prescribing patterns, lab data, and behavioral signals into coherent analytical narratives
- Establishing methodological standards that protect the integrity of our claims
- Translating complex statistical findings into clear implications for Product, Marketing, and executive stakeholders
- Leading and mentoring a small data team while remaining deeply hands-on in research and modeling
- Building repeatable research processes that can scale as new data flows in
What You Bring:
- Advanced training in statistics, biostatistics, econometrics, or a related field with deep expertise in causal inference
- Demonstrated experience designing studies in observational healthcare data where randomization is not available
- Practical understanding of the pitfalls in real-world clinical datasets, including confounding variables, selection effects, and incomplete outcome signals
- Comfort working with messy inputs such as PDF labs, narrative notes, inconsistent schemas, and evolving data structures
- Strong Python proficiency and hands-on experience with statistical modeling libraries
- A track record of translating analytical insight into tangible business or product decisions
- Professional maturity and autonomy to run a high-visibility research function independently
- Experience leading or mentoring other data professionals while maintaining technical depth
What we can offer you:
- Flexible PTO & competitive pay
- RRSP match (CAD) & stock options
- Customizable benefits — flexible coverage, paramedical services, and an HSA.
- Flexible benefits package and additional perks
- Employee discount on Fullscript catalog of products for family & friends
- Continuous learning — training budget + company-wide initiatives.
- Wherever You Work Well — hybrid and remote flexibility.
