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LeadFull-timePythonRustAWSGitAIData
Salary Range
$121,125 - $163,875 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Lead Data Scientist to join Fullscript, an industry-leading health technology company. You will anchor one of the most important initiatives in our next chapter, focusing on building intelligence trained on real-world functional outcomes.
Key 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
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
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