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About the role

  • Lead Data Scientist building intelligence on real-world healthcare outcomes at Fullscript. Design and conduct causal research to transform healthcare data into actionable insights to improve care.

Responsibilities

  • 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

Requirements

  • 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

Benefits

  • Generous PTO and competitive pay
  • Fullscript’s RRSP match program for financial health
  • Flexible benefits package and workplace wellness program
  • Training budget and company-wide learning initiatives
  • Discount on Fullscript catalog of products
  • Ability to work Wherever You Work Well

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Python

Location requirements

RemoteCanada

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