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.
- Strong 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.
- Chance to influence products used across the US healthcare ecosystem.

📌 Epidemiologist (Bengaluru)
🏢 Kanary Staffing
📍 Bengaluru