- Location
- Tel-Aviv, IL
- Workplace
- Remote, Hybrid
- Type
- Part-time
- Department
- Data Science & AI
- Source
- Greenhouse
Description
We are looking for a Clinical Specialist to join our Medical AI team on a 50% part-time basis.
You will work at the intersection of medicine and AI, creating clinical datasets, evaluating AI-generated outputs, and providing clinical expertise throughout the product development process to help build safe and reliable healthcare AI solutions.
Responsibilities
- Create and validate high-quality clinical datasets for AI model development and evaluation.
- Review AI-generated clinical outputs and provide structured clinical feedback.
- Perform quality assurance on annotations and production cases.
- Contribute to annotation guidelines, evaluation frameworks, and clinical documentation.
- Partner with Product, AI, and Engineering teams to improve AI products and clinical workflows.
- 6th-year medical student or above (or medical school graduate).
- Strong clinical knowledge and attention to detail.
- Interest in AI and familiarity with LLMs
- Strong written communication skills.
- Ability to work independently and collaboratively.
- Experience in medical annotation, clinical research, healthcare AI, or medical informatics is an advantage.
- 50% position (~20 hours/week).
- Hybrid role with at least one day per week in the office.
Who We Are:
Behind every leading health system is K Health’s AI-powered virtual care engine.
Esteemed health systems like Mayo Clinic, Cedars-Sinai, Mass General Brigham, Hackensack Meridian Health, and Hartford Healthcare partner with K Health to build and run modern primary virtual care clinics on their behalf.
Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability.
We’re founded in 2016, headquartered in New York City, and backed by nearly $400 million from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners.
We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise.
We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users.
We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.
