Lead Data Scientist
New
Canada RemoteFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- PythonData Analysis
Requirements
- Advanced training in statistics, biostatistics, econometrics, or a related field
- Deep expertise in causal inference
- Demonstrated experience designing studies in observational healthcare data where randomization is not available
- Practical understanding of real-world clinical dataset pitfalls (confounding, selection effects, incomplete signals)
- Comfort working with messy inputs (PDF labs, narrative notes, inconsistent schemas)
- Strong Python proficiency
- Hands-on experience with statistical modeling libraries
- 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
Responsibilities
- Design rigorous observational research frameworks that move beyond correlation toward defensible causal inference
- Address confounding, selection bias, missingness, and other structural challenges in real-world healthcare data
- Extract outcome intelligence from newly acquired longitudinal practitioner datasets
- Connect prescribing patterns, lab data, and behavioral signals into coherent analytical narratives
- Establish methodological standards that protect the integrity of our claims
- Translate complex statistical findings into clear implications for Product, Marketing, and executive stakeholders
- Lead and mentor a small data team while remaining deeply hands-on in research and modeling
- Build repeatable research processes that can scale as new data flows in
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