Head of Informatics

Chamber Cardio Better care for all of our hearts. About Chamber Cardiovascular disease remains the leading cause of death in America. At Chamber, were rebuilding the system for cardiology, creating a world where outcomes, not volume, define success. We partner with independent cardiologists to help them lead population health efforts in their communities, equipping them with technology, data, and operational tools that turn complex insights into better care for every patient. Our model blends clinical expertise, thoughtful design, and a modern operating platform that supports physicians, patients, and payers alike. We believe innovation and empathy go hand in hand, and that by combining cuttingedge AI tools with a relentless focus on human care, we can transform heart health at scale. Role Overview Were looking for a Head of Informatics to build and lead our clinical data backbone and cardiology brain. You will manage backend clinical ontologies, design and scale our clinical and operations rules engine, and lead development of the clinical program recommendation engine. You combine deep clinical informatics and VBC experience with strong applied data science and statistics, turning complex cardiology and caremanagement concepts into productiongrade data models, algorithms, and decisionsupport tools. While reporting to the Chief Technology Officer , youll work closely with our Chief Medical Officer and Head of Product to build the decision support pathways that underpin our clinical model. This is a handson role for a leader who loves building from the ground up, thrives in bringing clarity to ambiguity, and sees AI as a force multiplier for clinical impact. Key Responsibilities Strategy & Leadership Set and own the informatics and data science roadmap aligned to cardiology VBC outcomes (TCoC, utilization, quality, and patient outcomes). Lead crossfunctional efforts with Clinical, Operations, Product, and Engineering from problem framing through implementation and iteration. Communicate model and rulesengine performance, risks, and roadmap to executives and clinical leaders. Clinical Ontologies & Rules Define and maintain unified clinical concepts, cohorts, and event definitions across claims, EHR, and other data sources in partnership with other technology team members. Architect and refine the rules engine that operationalizes cardiology programs with a key focus on recommending patient specific care pathways. Translate clinical program design into executable rules, scores, and triggers that integrate into product, APIs, and careteam workflows. Recommendation Engine & Data Science Lead design and development of a recommendation engine that suggests programs, interventions, and nextbestactions for cardiology patients and providers. Own the applied data science strategy (feature design, model selection, evaluation, and monitoring) and partner with Data Science/ML and Engineering to deploy models into production. Monitor performance (calibration, drift, bias, clinical relevance) and iterate based on outcomes and clinician feedback; identify safe, highvalue uses of AI/LLMs. Execution, Infrastructure & Team Building Define processes and standards for informatics and data science work suitable for our evolving startup environment. Partner with Engineering/MLOps on analytics and ML infrastructure requirements. Initially operate as a handson leader; over time, recruit and mentor a small, highleverage team of informaticists, analysts, and data scientists. Requirements 10+ years in bioinformatics, data science, or advanced analytics in a healthcare field. 5+ years working in valuebased care environments (e.g., ACOs, riskbearing provider groups, health plans, or specialty VBC organizations). Strong applied data science and statistics skills including predictive modeling, risk scoring, recommendation techniques, and observational study design. Proficiency in Python or R and SQL; experience evaluating and monitoring models (AUC, calibration, lift, stability/drift). Handson experience with large healthcare datasets and converting them into production features and models. Experience designing clinical data models, cohorts/registries, and clinical decision support or rules engines. Proven ability to translate clinical and operational requirements into productionready data and workflow logic with engineering teams. Chamber Values Low Ego: We stay grounded, curious, and open to feedback. Empathy: We build trust through compassion and thoughtful communication. Courage: We take action, think critically, and challenge ideas respectfully. Ownership: We follow through with integrity and hold ourselves to high standards. Grit: We push through ambiguity, move with urgency, and solve hard problems with horsepower and heart. Location Washington, DC area preferred. Remote or hybrid options available. Periodic travel to practice sites or Chamber offices may be required. Seniority level Executive Employment type Full-time Job function Information Technology Industries Hospitals and Health Care #J-18808-Ljbffr