Clinician Scientist, MD

Job not on LinkedIn

🕒 September 9

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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UpDoc

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 Seed on 2024-02

Healthcare • Artificial Intelligence • SaaS

UpDoc is a clinical AI company that provides an enterprise-grade, physician-governed software platform integrated with EHRs and clinical workflows to deliver continuous, evidence-based interventions between visits for chronic disease management. The company emphasizes FDA-cleared, patient-facing large language model (LLM) capabilities, monitoring structured patient data, coordinating with care teams, and operationally embedding into health systems to improve outcomes, adherence, and reduce costs. UpDoc is backed by healthcare organizations and pharmaceutical and advocacy partners (e. g. , Mayo Clinic, Eli Lilly, American Diabetes Association).

📋 Description

• 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 • Use failures and edge cases to drive product improvements • Contribute to clinical validation, outcomes analysis, and research supporting new capabilities • Work with clinical data and EHR integrations • Determine what information UpDoc needs and how EHR data should be interpreted • Map product workflows onto real-world clinical systems • Serve as a clinical and technical partner internally and externally • Collaborate with Product, Engineering, health-system informatics teams, and clinical stakeholders on integrations, implementation, and workflow questions

🎯 Requirements

• MD or DO degree • Completion of residency training • Board certification or eligibility • Meaningful direct patient-care experience • Strong clinical judgment and ability to reason rigorously about ambiguous cases, uncertainty, edge cases, and risk • Ability to translate clinical 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