Clinical Informaticist

The role

You will lead the design and execution of a data model evaluation strategy to measure how well clinical information is represented. You will work with clinicians, data engineers, and AI researchers to improve the Knit Data Model.

What you will do

• Design and implement a rigorous evaluation framework to assess clinical accuracy and completeness.
• Define meaningful evaluation metrics and develop analytical methodologies.
• Design and drive analyses of large clinical datasets using SQL, Python, and AI-assisted tools.
• Translate evaluation findings into evidence-based recommendations.
• Provide clinical informatics expertise for incorporating new data sources like clinical notes and claims.
• Evaluate clinical terminology mappings, data granularity, and information loss.
• Collaborate with data science teams to monitor clinical data model performance.
• Partner with data engineers to evaluate data transformation logic and concept mapping.
• Work with clinicians to translate expertise into measurable data model requirements.
• Provide clinical informatics guidance for customer and partner implementations.

Required qualifications

• Strong understanding of clinical data systems, healthcare terminology, and information representation in EHRs or claims.
• Experience independently developing research questions and designing evaluation frameworks.
• Ability to read and understand SQL and Python.
• Ability to leverage AI-assisted tools to execute analyses.
• Working familiarity with coding standards such as ICD-10, SNOMED CT, LOINC, RxNorm, or related systems.
• Ability to work effectively across clinical and technical teams.
• Comfort tackling ambiguous, open-ended problems.
• Professional or research experience in clinical informatics, healthcare data science, biomedical informatics, or a closely related field.

Nice to have

• Advanced training in biomedical or clinical informatics, including a relevant master's degree or PhD.
• Clinical training (MD, DO, RN, PharmD, or similar) or sustained collaboration with practicing clinicians.
• Experience building or evaluating clinical data models, terminology mappings, or ontology systems, including OMOP or UMLS.
• Experience developing research methodologies, evaluating clinical data quality, or quantitatively assessing information loss.
• Familiarity with clinical foundation models, transformer architectures, or complex analysis using longitudinal healthcare data.
• Experience working with multi-source healthcare datasets, including EHRs, claims, registries, or health information exchanges.
• Experience reviewing clinical data transformation pipelines or working with large-scale data processing systems.

Benefits

• Medical, dental, and vision coverage with 100% of premiums paid for employees and dependents.
• Gold medical plan (employees may choose to buy up to Platinum).
• Coverage begins on the first day of employment.
• 401(k) plan.
• 24 days of PTO annually.

About the company

Knit Health is building a novel clinical foundation model to improve how healthcare is delivered. The team uses a novel AI architecture designed to reason like physicians to build a clinical intelligence platform.