Clinical Data Model Architect for AI-Driven Care

Knit Health; San Francisco (CA); Hybrid; USD 165,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan

PTO 24 days per year

Hybrid work arrangement

Job summary

Knit Health is hiring a Clinical Informaticist to design and execute evaluation strategies for our clinical data model. You will measure how well clinical information is represented, identify information loss, and propose concrete model improvements.

In this hands-on role, you will collaborate with clinicians, data engineers, data scientists, and AI researchers to translate findings into practical changes. Reporting to the Senior Director of Data Science, you will help ensure data quality across

Qualifications

• Experience in clinical informatics, healthcare data science, or biomedical informatics.
• Ability to design evaluation frameworks and translate findings into actions.
• Experience reading SQL and Python and evaluating analytical results.

Responsibilities

• Design and implement a rigorous evaluation framework for the data model.
• Define evaluation metrics and measure performance across releases.
• Lead analyses of large clinical datasets using analytical and AI tools.
• Translate findings into evidence-based recommendations and improvements.

Skills

Clinical informatics

Research & evaluation

SQL & Python

Clinical terminology

Communication

Independent problem solving

Relevant experience

Education

MSc/PhD in biomedical informatics

Tools

OMOP

UMLS

Job description

Knit Health is hiring a Clinical Informaticist to design and execute evaluation strategies for our clinical data model. You will measure how well clinical information is represented, identify information loss, and propose concrete model improvements.

In this hands-on role, you will collaborate with clinicians, data engineers, data scientists, and AI researchers to translate findings into practical changes. Reporting to the Senior Director of Data Science, you will help ensure data quality across