Director of Clinical Data Science

Turquoise•San Diego, CA

4d•Remote

About The Position

We are seeking a Director of Clinical Data Science to bridge the gap between clinical expertise and data-driven product innovation. This physician-leader will bring deep clinical knowledge, fluency in data science, and a creative, self-starting mindset to shape how we model, interpret, and leverage healthcare pricing and utilization data. You will partner closely with engineering, product, and commercial teams to ensure our platform reflects the realities of clinical practice and delivers meaningful value to providers, payers, and patients. Responsibilities: Lead clinical data science strategy, applying medical expertise to healthcare pricing, reimbursement, and utilization datasets Advance the clinical infrastructure for a more open, efficient healthcare marketplace (see open.turquoise.health for more information) Design and develop data models, algorithms, and analytical frameworks that translate clinical complexity into actionable product insights Serve as the authoritative clinical voice externally and internally in cross-functional discussions with product, engineering, and go-to-market teams Identify novel data science approaches to solve hard problems at the intersection of clinical care and healthcare finance What you'll bring to the role: MD with 3–5+ years of clinical practice experience Experience designing, building, or scaling applications powered by AI or LLMs that can be articulated and demonstrated in a case study Fluent in data science tools and methods (we use Python and SQL primarily, but are open to other tooling as well); comfortable building and evaluating solutions hands-on Mission-driven and deeply motivated to fix what’s broken in healthcare finance Excellent verbal and written communicator who commands the respect of clinical and technical peers Creative problem-solver who sees opportunity where others see ambiguity Phenomenal work ethic and self-starter mentality—thrives in a fast-paced, remote-first startup environment

Requirements

MD with 3–5+ years of clinical practice experience
Experience designing, building, or scaling applications powered by AI or LLMs that can be articulated and demonstrated in a case study
Fluent in data science tools and methods (we use Python and SQL primarily, but are open to other tooling as well); comfortable building and evaluating solutions hands-on
Mission-driven and deeply motivated to fix what’s broken in healthcare finance
Excellent verbal and written communicator who commands the respect of clinical and technical peers
Creative problem-solver who sees opportunity where others see ambiguity
Phenomenal work ethic and self-starter mentality—thrives in a fast-paced, remote-first startup environment

Responsibilities

Lead clinical data science strategy, applying medical expertise to healthcare pricing, reimbursement, and utilization datasets
Advance the clinical infrastructure for a more open, efficient healthcare marketplace (see open.turquoise.health for more information)
Design and develop data models, algorithms, and analytical frameworks that translate clinical complexity into actionable product insights
Serve as the authoritative clinical voice externally and internally in cross-functional discussions with product, engineering, and go-to-market teams
Identify novel data science approaches to solve hard problems at the intersection of clinical care and healthcare finance

Benefits

Competitive pay with equity options
Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options
Company-sponsored disability & life insurance
Flexible PTO
401(k) + 4% Matching
Fully remote work + flexible working hours
$750 work-from-home setup budget
Paid bi-annual in-person co-working weeks
Quarterly $150 co-hanging stipend to meet up with coworkers
Monthly $100 health and wellness benefit
Generous paid family leave
Annual $1,200 learning & development stipend