Medical Affairs

Medical Affairs - Evidence Research Evidence AI Platform for Doctors Role: Medical Affairs – Evidence Research Company: OneRx.Ai (OneOrg.AI) Location: India - Gurgaon Type: Full-Time Domain: Evidence Intelligence | Clinical Research | Medical AI Joining: Immediate joiners preferred About OneRx.Ai OneRx.Ai is India’s first Evidence Intelligence Platform for Doctors, built on trusted medical sources such as ICMR, international clinical guidelines, peer-reviewed journals, and global medical literature. We are building a medical-grade AI system that delivers clear, cited, and context-aware clinical evidence to doctors in seconds—supporting evidence-based decision-making and responsible use of AI in clinical practice. We are a self-funded healthtech startup with an in-house AI and product team, focused on building India’s clinical evidence infrastructure. Role Overview We are hiring a Medical Affairs – Evidence Research professional to anchor the clinical accuracy, evidence rigor, and real-world medical validation of the OneRx platform. This role sits at the intersection of medical science, clinical research, and AI product development. You will work closely with doctors, hospitals, AI engineers, and product teams to ensure OneRx performs reliably in real clinical settings and continuously improves based on practitioner feedback. This is an ideal role for someone who has worked within an AI or digital health product environment and wants to help shape a clinically trusted AI platform for doctors. Key Responsibilities 1. Evidence Research & Curation 2. Identify, review, summarize, and validate clinical trials, guidelines, and peer-reviewed medical evidence 3. Curate structured evidence from trusted sources such as PubMed, ICMR, international guidelines, and medical journals 4. Translate complex clinical evidence into clear, structured formats suitable for AI ingestion and retrieval Clinical Accuracy & Validation 1. Validate AI-generated clinical responses for medical accuracy, guideline alignment, and contextual relevance 2. Support development of clinical guardrails to ensure safe, compliant, and evidence-based AI outputs 3. Review treatment pathways, diagnostics, drug information, and clinical decision logic Doctor & Hospital Collaboration 1. Work directly with doctors in hospitals and clinical settings to gather feedback on product usability, accuracy, and clinical relevance 2. Translate real-world clinician feedback into actionable product and evidence improvements 3. Support onboarding and engagement of doctors during pilot deployments Doctor Validation Panel Development 1. Build and manage a panel of practicing doctors who will test and validate the product in real clinical scenarios 2. Coordinate structured testing, feedback cycles, and documentation of clinical insights 3. Ensure feedback from the doctor panel is systematically incorporated into product iterations Clinical Data & Evidence Operations 1. Perform protocol-driven abstraction and validation of clinical data from EHRs, physician notes, and clinical reports 2. Support evidence tagging, mapping, and standardization using accepted medical terminologies 3. Contribute to SOPs for evidence quality, review workflows, and medical data governance Product & AI Collaboration 1. Work closely with AI, engineering, and product teams to translate clinical logic into clear product requirements 2. Participate in UAT, testing, and feedback cycles within the AI product lifecycle 3. Provide continuous, structured feedback to improve AI workflows and evidence presentation Continuous Medical Updates 1. Stay current with new clinical research, guideline updates, and medical publications 2. Support regular evidence updates and expansion across therapy areas Who You Are Education - PharmD / MPharm / MD Pharmacology / equivalent medical-science background Experience 1. Minimum 2 years of experience in clinical research, medical affairs, or evidence research 2. Prior experience working in an AI, digital health, or healthtech product environment 3. Hands-on experience with evidence review, clinical documentation, and protocol-driven workflows Skills 1. Strong understanding of evidence-based medicine 2. High attention to detail and analytical rigor 3. Ability to clearly interpret, synthesize, and articulate medical evidence 4. Comfortable working with cross-functional product and engineering teams 5. Strong written and verbal communication skills Bonus (Not Mandatory) 1. Experience with clinical data platforms, EDCs, or AI annotation systems 2. Exposure to UAT, product testing, or clinical validation frameworks 3. Familiarity with medical terminologies or regulatory-aligned data standards Why Join OneRx 1. Be part of India’s clinical evidence infrastructure 2. Work directly with doctors and hospitals 3. Shape how AI is responsibly used in medicine 4. Collaborate with AI engineers, clinicians, and product leaders 5. High ownership, fast learning, and strong growth trajectory Compensation - Competitive fixed compensation - Performance-linked growth opportunities Apply Now 📧 vivek.slaria@oneorg.ai Subject: Application – Medical Affairs (Evidence Research) 🌐 www.Onerx.Ai