Job Description
This role combines epidemiology, healthcare analytics, and AI. You will partner with
clinicians, engineers, product managers, data scientists, and business leaders to build
evidence-driven solutions, with a strong emphasis on oncology and US healthcare.
Responsibilities
• Analyze large healthcare datasets and identify trends and outcomes.
• Design observational and real-world evidence studies.
• Guide AI products using epidemiological methods.
• Validate AI models and analytical outputs.
• Collaborate across clinical, product, engineering, and data science teams.
• Translate scientific evidence into product capabilities.
• Support publications, white papers, and presentations.

Required qualifications
• Master's or PhD in Epidemiology, Public Health, Biostatistics, or a related
discipline.
• Experience in epidemiology,



healthcare analytics, or clinical research.
• Robust understanding of study design and statistics.
• Experience with R, SAS, Python, SQL, or similar tools.
• Excellent communication and stakeholder management skills.

Preferred Qualifications
Experience with US healthcare claims or EHR data, oncology, Real-World Evidence
(RWE), HEOR, and collaboration with AI/ML teams.

Why Join Us
Help shape next-generation AI solutions for healthcare.
• Work on complex, high-impact healthcare challenges.
• Collaborate with multidisciplinary experts.
• Opportunity to influence products used across the US healthcare ecosystem.

📌 Epidemiologist (Bengaluru)
🏢 Kanary Staffing
📍 Bengaluru