Principal Clinical Informaticist - Clinical IntelligenceThis Opportunity
We are seeking a Principal Clinical Informaticist - Clinical Intelligence to join the Catalysts team.
Catalysts enables customers to unlock the full value of Truveta's data, products, and intelligence offerings through practical solutions, reusable assets, and customer-facing enablement.
In this role, you will help define how Truveta Intelligence understands and reasons about healthcare data, evidence generation, and analytical workflows. You will transform healthcare expertise into reusable intelligence capabilities that enable both users and AI systems to make better decisions at scale.
The primary focus of this role is developing reasoning frameworks, decision guides, and intelligence capabilities that improve how Truveta Intelligence interprets healthcare data and supports analytical workflows. These capabilities serve as the foundation for both AI experiences and human-facing guidance.
The ideal candidate combines deep expertise in healthcare data, clinical terminology, healthcare methodology, and hands-on analytical problem solving. They are comfortable moving between data exploration, methodological reasoning, and knowledge creation to improve how AI systems and users work with healthcare data. They enjoy simplifying complex topics, creating scalable knowledge systems, and shaping the future of AI-assisted healthcare analytics.
Key ResponsibilitiesClinical intelligence and reasoning frameworks- Identify high-value healthcare and analytical concepts that should be encoded into Truveta Intelligence.
- Develop reasoning frameworks, decision guides, and intelligence capabilities that improve how AI systems interpret healthcare data and support analytical workflows.
- Translate healthcare expertise into scalable capabilities that improve analytical consistency, accuracy, and efficiency.
- Help define best practices for how Truveta Intelligence approaches healthcare and analytical challenges.
- Continuously evaluate and improve intelligence capabilities based on adoption, performance, and user feedback.
- Identify emerging opportunities where AI can accelerate healthcare analytics and evidence generation.
Example topic: How censoring should be handled in EHR-based research, including practical limitations, tradeoffs, and implementation considerations.
Healthcare data, terminology, and methodology- Serve as a subject matter expert on EHR and real-world healthcare data.
- Use SQL, R, Python, and related tools to investigate healthcare data, validate assumptions, evaluate methodologies, and support intelligence development.
- Develop guidance around healthcare data characteristics, limitations, and analytical tradeoffs.
- Define and justify approaches for identifying clinical events, conditions, procedures, medications, and outcomes using healthcare data.
- Apply clinical knowledge, healthcare terminology expertise, and practical EHR understanding to create robust and explainable approaches.
- Provide expertise on ICD, SNOMED, CPT, HCPCS, LOINC, RxNorm, and related healthcare standards.
- Help ensure intelligence capabilities reflect real-world healthcare data rather than idealized assumptions.
- Establish practical best practices for healthcare data interpretation and evidence generation.
Product and intelligence partnership- Partner closely with Intelligence, Product, and Engineering teams to ensure healthcare expertise is effectively integrated into user experiences.
- Identify gaps where clinical and healthcare expertise can improve AI capabilities and user outcomes.
- Help prioritize future intelligence capabilities based on customer needs, observed limitations, and adoption signals.
- Influence roadmap decisions through healthcare expertise, analytical evidence, and practical experience.
- Measure the impact and usage of developed intelligence capabilities.
- Act as a bridge between healthcare methodology, healthcare data, and AI capabilities.
Required Qualifications- Advanced degree in public health, epidemiology, health services research, clinical informatics, medicine, pharmacy, nursing, healthcare analytics, or a related field.
- 8+ years of experience working with EHR, claims, registry, or other large-scale healthcare datasets.
- Deep understanding of healthcare data, clinical workflows, healthcare terminology, and evidence generation methodologies.
- Strong familiarity with ICD, SNOMED, CPT, HCPCS, LOINC, RxNorm, and related healthcare standards.
- Experience working directly with healthcare data using SQL, R, Python, or similar analytical tools.
- Ability to independently investigate healthcare data, validate assumptions, and evaluate methodological approaches.
- Demonstrated ability to define, justify, and communicate approaches for identifying clinical events, conditions, procedures, medications, and outcomes.
- Comfortable moving between conceptual reasoning and hands-on data exploration.
- Experience teaching, mentoring, or translating complex healthcare concepts into practical guidance.
- Demonstrated ability to independently identify, prioritize, and execute high-value initiatives.
- Strong written and verbal communication skills.
- Experience using generative AI and related tools to accelerate analytical, educational, or knowledge-management workflows.
Preferred Qualifications- Experience in clinical informatics, medical informatics, healthcare intelligence, healthcare knowledge management, or healthcare education.
- Experience collaborating with Product, Engineering, or AI teams.
- Experience evaluating how domain expertise can be translated into AI-assisted workflows.
- Experience developing guidance around healthcare terminology, coding practices, healthcare data interpretation, or evidence generation methodologies.
- Experience working with retrieval systems, knowledge systems, prompt engineering, AI evaluation, or related AI technologies.
- Experience presenting and teaching complex healthcare concepts to technical and non-technical audiences.
- Experience developing scalable approaches to knowledge transfer and expert enablement.
- Experience creating analytical prototypes, validation studies, or exploratory analyses to evaluate healthcare data methodologies.
We Offer:- Interesting and meaningful work for every career stage
- Great benefits package
- Comprehensive benefits with strong medical, dental and vision insurance plans
- 401K plan
- Professional development & training opportunities for continuous learning
- Work/life autonomy via flexible work hours and flexible paid time off
- Generous parental leave
- Regular team activities (virtual and in-person)
- The base pay for this position is $205,000 to $235,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.
