Truveta is the world’s first health provider‑led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Our hybrid model allows employees to work from anywhere and requires in‑person attendance at least once per year for an onsite meeting. We schedule meetings in Pacific Time to support team productivity, avoiding any recurring meetings that start after 3 pm PT while encouraging ad‑hoc meetings between 8 am and 6 pm PT.
Who We Need
We are building a diverse team to tackle complex health and technical challenges. Beyond core capabilities, we seek problem solvers, passionate collaborators, and individuals willing to roll up their sleeves to make a difference. If you want purposeful work, a mission‑driven team, and a rewarding career, Truveta may be the perfect fit.
This 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. Your focus will be developing reasoning frameworks, decision guides, and intelligence capabilities that improve how AI systems and users interpret healthcare data at scale. The ideal candidate combines deep expertise in healthcare data, clinical terminology, healthcare methodology, and hands‑on analytical problem solving.
Key Responsibilities
Clinical Intelligence and Reasoning Frameworks
- Identify high‑value healthcare and analytical concepts for encoding into Truveta Intelligence.
- Develop reasoning frameworks and decision guides to improve AI system interpretation of healthcare data.
- Translate healthcare expertise into scalable capabilities that enhance analytical consistency, accuracy, and efficiency.
- Define best practices for addressing healthcare and analytical challenges.
- Continuously evaluate and improve intelligence capabilities based on adoption, performance, and feedback.
- Identify emerging opportunities where AI can accelerate healthcare analytics and evidence generation.
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 data, validate assumptions, evaluate methodologies, and support intelligence development.
- Develop guidance around data characteristics, limitations, and analytical trade‑offs.
- Define and justify approaches for identifying clinical events, conditions, procedures, medications, and outcomes using healthcare data.
- Apply clinical knowledge, terminology expertise, and practical EHR understanding to create robust and explainable approaches.
- Provide expertise on ICD, SNOMED, CPT, HCPCS, LOINC, RxNorm, and related standards.
- Ensure intelligence capabilities reflect real‑world data rather than idealized assumptions.
- Establish best practices for data interpretation and evidence generation.
Product and Intelligence Partnership
- Partner with Intelligence, Product, and Engineering teams to integrate healthcare expertise into user experiences.
- Identify gaps where clinical expertise can improve AI capabilities and user outcomes.
- Prioritize future intelligence capabilities based on customer needs, limitations, and adoption signals.
- Influence roadmap decisions through analytical evidence and practical experience.
- Measure the impact and usage of developed intelligence capabilities.
- Act as a bridge between healthcare methodology, 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 with EHR, claims, registry, or other large‑scale healthcare datasets.
- Deep understanding of healthcare data, clinical workflows, terminology, and evidence generation methodologies.
- Strong familiarity with ICD, SNOMED, CPT, HCPCS, LOINC, RxNorm, and related standards.
- Experience working directly with data using SQL, R, Python, or similar analytical tools.
- Ability to investigate data, validate assumptions, and evaluate methodological approaches independently.
- 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 concepts into practical guidance.
- Demonstrated ability to 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, knowledge management, or healthcare education.
- Experience collaborating with Product, Engineering, or AI teams.
- Experience evaluating how domain expertise translates into AI‑assisted workflows.
- Experience developing guidance around terminology, coding practices, data interpretation, or evidence generation methodologies.
- Experience with retrieval systems, knowledge systems, prompt engineering, AI evaluation, or related 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.
Why Truveta
Be a part of building something special. We have strong, established leadership, are well‑funded, and are building a culture that prioritizes people and their passions across personal, professional, and everything in between.
We Offer
- Interesting and meaningful work for every career stage.
- Great benefits package.
- Comprehensive medical, dental, and vision insurance plans.
- 401(k) plan.
- Professional development and training opportunities.
- Work/life autonomy via flexible hours and 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, reflecting the minimum and maximum target. Pay may vary based on location and qualifications. Certain roles may receive additional incentive pay and stock options.
If you are based in California, we encourage you to read this important information for California residents linked here.
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables us to better meet our mission and serve patients and health communities worldwide. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all requirements.
Please note that all applicants must be authorized to work in the United States. We are unable to sponsor work visas or permits (e.g., F‑1 OPT, H‑1B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.