Weekday (YC W21)
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
Internal Medicine AI Evaluation Specialist
Job not on LinkedIn
🕒 July 8
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Weekday (YC W21)
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
📋 Description
• Develop realistic Internal Medicine case studies based on everyday clinical practice • Create prompts covering diagnostic reasoning, treatment planning, and guideline adherence • Produce attending physician-level reference solutions that reflect current clinical best practices • Review and assess AI-generated clinical responses using structured evaluation frameworks • Participate in onboarding sessions and specialty calibration meetings
🎯 Requirements
• Board-certified in Internal Medicine or board-eligible as a final-year resident or fellow • Current, active, and unrestricted medical license • Expertise in Internal Medicine subspecialties (e.g. Cardiology, Hematology & Oncology, Endocrinology, Nephrology, Gastroenterology, Pulmonology) • Strong knowledge of evidence-based medicine and clinical practice guidelines • Experience in clinical teaching, medical research, or quality improvement initiatives • Excellent written communication and analytical skills • Interest in artificial intelligence, clinical decision support, or healthcare technology
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