Note: The job is a remote job and is open to candidates in USA. UpDoc is building a clinically validated, physician-supervised AI agent for chronic disease management. The Clinician Scientist will define and evaluate the clinical intelligence, safety boundaries, and system behavior of AI-enabled chronic disease products while contributing to clinical validation, data and EHR integrations, and cross-functional implementation.
Responsibilities
- Define clinical reasoning, expected system behavior, and safety boundaries for UpDoc’s chronic disease products, including decision logic, uncertainty, risk, escalation, and safeguards
- Build and run rigorous clinical evaluations—including scenarios, datasets, rubrics, and acceptance thresholds—and use failures and edge cases to drive improvements
- Contribute to clinical validation, outcomes analysis, and research supporting new capabilities
- Work with clinical data and EHR integrations, helping determine what information UpDoc needs, how EHR data should be interpreted, and how product workflows map onto real-world clinical systems
- Serve as a clinical and technical partner internally and externally, working with Product, Engineering, health-system informatics teams, and clinical stakeholders on integrations, implementation, and workflow questions
Skills
- • MD or DO degree, completion of residency training, board certification or eligibility, and meaningful direct patient-care experience
- • Strong clinical judgment and the ability to reason rigorously about ambiguous cases, uncertainty, edge cases, and risk—and translate that reasoning into explicit, testable expectations
- • Strong analytical skills and technical fluency; comfort working with data, APIs, EHR concepts, and AI systems
- • Ability to work effectively with Engineering, AI/ML, Data, Product, clinical teams, and external health-system stakeholders
- • Experience developing or evaluating AI-enabled clinical products, including clinical evaluation datasets, rubrics, model evaluation, or AI safety and quality
- • Experience in clinical research, clinical validation, or an FDA-regulated software environment
- • Experience in chronic disease management, primary care, cardiometabolic health, or longitudinal care
- • Clinical informatics experience or training; familiarity with EHRs, FHIR, healthcare interoperability, or health-system integrations
- • Comfort with technical tools such as Python, SQL, notebooks, data analysis, or AI evaluation tooling
Benefits
- Remote role
Company Overview