Principal Health Informatics Data Scientist (Remote)

Waymark; United States; Remote; USD 124,160 - 229,000; Full time

Benefits offered by this job

Stock Options

Work-from-Home Stipend

Medical, Vision, and Dental Coverage

Life Insurance

Paid Time Off

Parental Leave

Retirement Savings

Commuter Benefits

Professional Development Stipend

Job summary

Waymark is seeking a Principal Data Scientist for a remote role to own clinical data strategy and manage data quality in modeling. This position demands fluency in clinical terminologies, applied ML/AI expertise, and project management skills. You will lead initiatives to build production-grade models that enhance healthcare delivery for Medicaid patients.

The ideal candidate possesses a master’s degree, extensive Python experience, and a strong healthcare data background. This role plays a crucial part in ensuring model accuracy, enabling effective care solutions across health plans.

Qualifications

• 7-8+ years of experience in Python, including data science and ML libraries.
• Demonstrated ability to build, validate, and deploy production ML models on healthcare data.
• Proven ability to manage complex technical projects independently.

Responsibilities

• Own clinical data quality across claims, EHR, and ADT.
• Develop, validate, and deploy risk stratification and treatment effect estimation models.
• Translate raw clinical and claims data into decision-grade evidence.

Skills

Healthcare Data Expertise

Standards Fluency

Python Proficiency

Applied ML/AI Experience

Project Ownership

Education

Master’s degree in Data Science, Biostatistics, Health Informatics, Computer Science, or a related field

Job description

Waymark is seeking a Principal Data Scientist for a remote role to own clinical data strategy and manage data quality in modeling. This position demands fluency in clinical terminologies, applied ML/AI expertise, and project management skills. You will lead initiatives to build production-grade models that enhance healthcare delivery for Medicaid patients.

The ideal candidate possesses a master’s degree, extensive Python experience, and a strong healthcare data background. This role plays a crucial part in ensuring model accuracy, enabling effective care solutions across health plans.