Medical Affairs

Medical Affairs - Evidence ResearchEvidence AI Platform for DoctorsRole:  Medical Affairs – Evidence ResearchCompany:  OneRx.ai (OneOrg.AI)Location:  India - GurgaonType:  Full-TimeDomain:  Evidence Intelligence | Clinical Research | Medical AIJoining:   Immediate joiners preferredAbout OneRx.aiOneRx.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 OverviewWe 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 ResponsibilitiesEvidence Research & CurationIdentify, review, summarize, and validate  clinical trials, guidelines, and peer-reviewed medical evidenceCurate structured evidence from trusted sources such as  PubMed, ICMR, international guidelines, and medical journalsTranslate complex clinical evidence into  clear, structured formats  suitable for AI ingestion and retrievalClinical Accuracy & ValidationValidate AI-generated clinical responses for  medical accuracy, guideline alignment, and contextual relevanceSupport development of  clinical guardrails  to ensure safe, compliant, and evidence-based AI outputsReview treatment pathways, diagnostics, drug information, and clinical decision logicDoctor & Hospital CollaborationWork directly with  doctors in hospitals and clinical settings  to gather feedback on product usability, accuracy, and clinical relevanceTranslate real-world clinician feedback into  actionable product and evidence improvementsSupport onboarding and engagement of doctors during pilot deploymentsDoctor Validation Panel DevelopmentBuild and manage a  panel of practicing doctors  who will test and validate the product in real clinical scenariosCoordinate structured testing, feedback cycles, and documentation of clinical insightsEnsure feedback from the doctor panel is systematically incorporated into product iterationsClinical Data & Evidence OperationsPerform protocol-driven abstraction and validation of clinical data from  EHRs, physician notes, and clinical reportsSupport evidence tagging, mapping, and standardization using accepted medical terminologiesContribute to SOPs for  evidence quality, review workflows, and medical data governanceProduct & AI CollaborationWork closely with  AI, engineering, and product teams  to translate clinical logic into clear product requirementsParticipate in  UAT, testing, and feedback cycles  within the AI product lifecycleProvide continuous, structured feedback to improve AI workflows and evidence presentationContinuous Medical UpdatesStay current with  new clinical research, guideline updates, and medical publicationsSupport regular evidence updates and expansion across therapy areasWho You AreEducation - PharmD / MPharm / MD Pharmacology / equivalent medical-science backgroundExperienceMinimum 2 years of experience in clinical research, medical affairs, or evidence researchPrior experience working in an AI, digital health, or healthtech product environmentHands-on experience with  evidence review, clinical documentation, and protocol-driven workflowsSkillsStrong understanding of  evidence-based medicineHigh attention to detail and analytical rigorAbility to clearly  interpret, synthesize, and articulate medical evidenceComfortable working with cross-functional product and engineering teamsStrong written and verbal communication skillsBonus (Not Mandatory)Experience with  clinical data platforms, EDCs, or AI annotation systemsExposure to  UAT, product testing, or clinical validation frameworksFamiliarity with medical terminologies or regulatory-aligned data standardsWhy Join OneRxBe part of  India’s clinical evidence infrastructureWork directly with  doctors and hospitalsShape how  AI is responsibly used in medicineCollaborate with  AI engineers, clinicians, and product leadersHigh ownership, fast learning, and strong growth trajectoryCompensationCompetitive fixed compensationPerformance-linked growth opportunitiesApply : Application – Medical Affairs (Evidence Research)