Clinician Scientist (MD)

UpDoc, Inc.; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

UpDoc, Inc. is seeking a Clinician Scientist (MD) to define and evaluate the clinical intelligence behind its AI-enabled chronic disease products. You will operate at the intersection of clinical reasoning, AI evaluation, and clinical data and EHR integrations.

This remote role requires medical training, strong analytical skills, and the ability to collaborate with Product, Engineering, and health-system stakeholders to map workflows and ensure safe, testable outcomes.

Qualifications

• MD or DO with board certification or eligibility and direct patient-care experience.
• Ability to reason through ambiguous clinical scenarios and translate to testable expectations.
• Strong analytical and technical fluency with data, APIs, and EHR concepts.
• Experience collaborating with Engineering, AI/ML, Data, Product, and clinical teams.
• Experience developing or evaluating AI-enabled clinical products.
• Clinical research experience or FDA-regulated software exposure.
• Experience in chronic disease management or primary care.
• Clinical informatics familiarity with EHRs, FHIR, and interoperability.
• Familiarity with Python, SQL, notebooks, data analysis, or AI tooling.

Responsibilities

• Define clinical reasoning, expected system behavior, and safety boundaries for UpDoc’s chronic disease products.
• Build and run rigorous clinical evaluations with datasets, rubrics, and thresholds.
• Contribute to clinical validation, outcomes analysis, and research for new capabilities.
• Work with clinical data and EHR integrations and map workflows to real-world systems.
• Serve as a clinical and technical partner with Product, Engineering, health-system informatics, and stakeholders.

Skills

Clinical reasoning

Analytical skills

Data & API fluency

EHR concepts

Cross-functional collaboration

Education

MD or DO degree

Residency completion

Board certification or eligibility

Direct patient-care experience

Tools

Python

SQL

AI evaluation tooling

Job description

About UpDoc

At UpDoc, we are building the first clinically validated, physician-supervised AI agent that manages chronic diseases. We are an early-stage startup founded by Stanford physicians.

We are seeking a Clinician Scientist (MD) to define and evaluate the clinical intelligence behind UpDoc’s AI-enabled chronic disease products. You will work at the intersection of clinical reasoning, AI evaluation, and clinical data and EHR integrations.

This is a remote role.

Who You Are

You’re a physician with strong clinical judgment who thinks systematically about how clinical decisions are made and can make nuanced reasoning explicit enough to test in software. You’re comfortable working with data, APIs, EHR concepts, and AI systems, even without formal engineering experience.

What You'll Do

• 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.

What You'll Need

• 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.

Highly Desired

• 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.