Principal Data Scientist, Health Informatics

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Waymark

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • Advertising • SaaS

Waymark is a creative technology company that leverages artificial intelligence to revolutionize ad production. Their platform enables users to create high-impact, agency-quality video ads quickly and effortlessly, without requiring prior experience. By personalizing ads with a brand's unique content and utilizing AI-driven creativity, Waymark allows businesses to unlock new revenue streams and enhance their marketing strategies. With their cutting-edge tools, users can produce custom-tailored ads in minutes, significantly reducing the cost and time of traditional ad production.

📋 Description

• Own clinical data quality across claims, EHR, and ADT: Define standards for how clinical data is structured, normalized, and validated as modeling inputs across payer claims (medical, pharmacy, eligibility), EHR data (Epic, Cerner, Athena), and real-time ADT feeds. Bring deep familiarity with EHR data formats (FHIR, HL7, C-CDA) and how data from systems like Epic, Cerner, and Athena maps to clinical reality. Hold the bar for clinical accuracy and completeness across all three sources. • Build and ship production ML/AI models: Develop, validate, and deploy risk stratification, care gap prediction, treatment effect estimation, and LLM/foundation model applications — with rigor around leakage, calibration, fairness, and clinical face validity. • Apply health economics and outcomes methods: Translate raw clinical and claims data into decision-grade evidence through risk adjustment, utilization measurement, cost attribution, quasi-experimental evaluation, and outcomes measurement aligned with CMS, NCQA, and MCO reporting standards. • Advance machine and AI products: Bring senior modeling judgment to the product roadmap, owning the clinical and methodological soundness of what ships. • Set standards and mentor: Make architectural trade-offs, drive alignment across data science, engineering, product, and clinical stakeholders, and mentor junior data scientists to raise the technical bar of the team.

🎯 Requirements

• Healthcare Data Expertise: Deep, hands-on fluency with claims, EHR, and ADT data, and strong command of clinical terminologies (ICD-10, SNOMED CT, LOINC, RxNorm, CPT/HCPCS) and value set curation. • Standards Fluency: Working experience with healthcare data standards and exchange formats — FHIR, HL7v2, and C-CDA. • Education: Master's degree in Data Science, Biostatistics, Health Informatics, Computer Science, or a related field. • Python Proficiency: 7-8+ years of hands-on experience in Python, including data science and ML libraries. • Applied ML/AI Experience: Demonstrated ability to build, validate, and deploy production ML models on healthcare data, with end-to-end ownership from development through deployment and maintenance in a live environment. Experience with ML pipelines, model versioning, and reproducible workflows at scale. • Project Ownership: Proven ability to manage complex technical projects independently, align multiple stakeholders, and deliver on timelines.

🏖️ Benefits

• Stock Options: Opportunity to invest in the company’s growth. • Work-from-Home Stipend: A dedicated stipend for your first year to help set up your home office. • Medical, Vision, and Dental Coverage: Comprehensive plans to keep you and your family healthy. • Life Insurance: Basic life insurance to give you peace of mind. • Paid Time Off: 20 vacation days, accrued over the year, plus 11 paid holidays. • Parental Leave: 16 weeks of paid leave for birthing parents after six months of employment, and 8 weeks of bonding leave for non-birthing parents. • Retirement Savings: Access to a 401(k) plan with a company contribution, subject to a vesting schedule. • Commuter Benefits: Convenient options to support your commute needs. • Professional Development Stipend: A dedicated stipend supports professional development and growth.

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