Related skills
python statistics healthcare📋 Description
- Design observational research for defensible causal inference
- Address confounding, bias, missingness in real-world healthcare data
- Extract outcome intelligence from longitudinal practitioner data
- Connect prescribing, lab data, and behavior into narratives
- Establish standards to protect claim integrity
- Translate analytics into product and business decisions
🎯 Requirements
- Advanced training in statistics/biostatistics/econometrics with causal inference
- Experience designing observational healthcare studies without randomization
- Understanding real-world clinical data pitfalls: confounding, bias, missingness
- Comfort with messy inputs like PDFs, notes, evolving schemas
- Strong Python proficiency with statistical modeling libraries
- Track record translating analytics into business or product decisions
🎁 Benefits
- Generous PTO and competitive pay
- RRSP match program for financial health
- Flexible benefits package and workplace wellness
- Training budget and company-wide learning initiatives
- Discount on Fullscript catalog of products
- Ability to work Wherever You Work Well
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