Medical Affairs Cardiology Evidence AI Research

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Evidence Intelligence Platform for Doctors

medical-grade AI system

India’s clinical evidence infrastructure

Medical Affairs – Evidence Research professional (Cardiology)

cardiology, clinical research, and AI product development

worked within an AI or digital health product environment

• Identify, review, summarize, and validate 

  cardiology clinical trials, guidelines, and peer-reviewed evidence

• Curate structured evidence from sources such as ESC, ACC/AHA guidelines, ICMR, PubMed, and leading cardiology journals

• Translate complex cardiology evidence (risk stratification, diagnostics, treatment pathways) into clear, structured formats

   suitable for AI ingestion and retrieval

• Validate AI-generated cardiology responses for 

  medical accuracy, guideline alignment, and contextual relevance

• Support development of clinical guardrails

   to ensure safe, compliant, and evidence-based AI outputs
• Review cardiology 

  treatment algorithms, diagnostics, drug therapies, and clinical decision logic

• Work directly with 

  cardiologists and physicians in hospital settings

   to gather feedback on product usability, accuracy, and clinical relevance
• Translate real-world clinician feedback into 

  actionable product and evidence improvements

• Support onboarding and engagement of doctors during cardiology pilot deployments

• Build and manage a 

  panel of practicing cardiologists and physicians

   who will test and validate the product in real clinical scenarios
• Coordinate structured testing, feedback cycles, and documentation of clinical insights
• Ensure feedback from the doctor panel is systematically incorporated into product iterations
  

• Perform protocol-driven abstraction and validation of cardiology-related clinical data from 

  EHRs, physician notes, investigations, and clinical reports

• Support evidence tagging, mapping, and standardization using accepted medical terminologies

• Contribute to SOPs for evidence quality, review workflows, and medical data governance

• Work closely with 

  AI, engineering, and product teams

   to translate cardiology clinical logic into clear product requirements
• Participate in 

  UAT, testing, and feedback cycles

   within the AI product lifecycle
• Provide continuous, structured feedback to improve AI workflows and cardiology evidence presentation
  

• Stay current with 

  new cardiology research, guideline updates, and landmark trials

• Support regular evidence updates and expansion across cardiology sub-areas (e.g., hypertension, heart failure, ACS, arrhythmias)

• PharmD / MPharm / MD Pharmacology / equivalent medical-science background

• Strong exposure to cardiology or cardiovascular medicine

   preferred

• Minimum 2 years of experience

   in clinical research, medical affairs, or evidence research
• Prior experience working in an 

  AI, digital health, or healthtech product environment

• Hands-on experience with evidence review, clinical documentation, and protocol-driven workflows

• Strong understanding of 

  evidence-based cardiology

• High attention to detail and analytical rigor

• Ability to clearly interpret, synthesize, and articulate cardiology evidence

• Comfortable working with cross-functional product and engineering teams

• Strong written and verbal communication skills

• Experience with 

  clinical data platforms, EDCs, or AI annotation systems

• Exposure to UAT, product testing, or clinical validation frameworks

• Familiarity with cardiology-related terminologies or regulatory-aligned data standards

• Be part of 

  India’s clinical evidence infrastructure

• Work directly with cardiologists and hospitals

• Shape how AI is responsibly used in cardiovascular care

• Collaborate with AI engineers, clinicians, and product leaders

• High ownership, fast learning, and strong growth trajectory

• Competitive fixed compensation
• Performance-linked growth opportunities
  

Vivek.Slaria@oneorg.ai

Subject:

www.onerx.ai