Clinical Insights Analyst(Data Analyst)
Remote, India
2 applied
Full-time
2 - 3 yrs
Posted on: Mar 6, 2026
No of Positions: 2
Skills
python
R
sql
Clinical Knowledge
Life sciences
us healthcare
The Role :
Serve as the technical bridge between healthcare providers and complex data. You will translate clinical hypotheses into precise queries using medical ontologies (ICD-10, SNOMED, LOINC) and deliver custom analytics to life science stakeholders.
Key Responsibilities :
Query Design: Map inbound clinical questions to structured data criteria using medical coding standards and free-text analysis.
Data Execution: Run custom analytics using SQL, Python, or R within a proprietary tech stack.
Stakeholder Delivery: Present technical findings to physicians and researchers, clarifying methodology and data limitations.
Research: Co-author peer-reviewed articles and present real-world evidence (RWE) at conferences.
Minimum Requirements :
Education: Quantitative degree (Stats, CS, Informatics, Physics, or Engineering).
Technical: Proficiency in SQL, Python, or R.
Domain: Deep knowledge of clinical terminologies (ICD, CPT, LOINC, SNOMED).
Experience: Prior analyst experience in a health system, life sciences, or consulting.
Logistics: Ability to work US Business Hours (Night shift IST).
HireTo Co.
Indore, Madhya Pradesh, India
HireTo by Kuvaka Tech, Founded in 2019, HireTo is an AI-powered staffing and recruitment arm of Kuvaka Tech, dedicated to delivering high-quality IT hiring solutions for startups and mid-sized companies. Leveraging advanced AI-driven technical assessments, domain expertise, and a deep understanding of emerging technologies, HireTo specializes in sourcing, evaluating, and placing top-tier talent across Cloud, Backend, Frontend, Mobile Development, DevOps, Data Engineering, Data Science, AI/ML, and Prompt Engineering roles. Backed by Kuvaka Tech strong foundation in Blockchain, Artificial Intelligence, and SaaS solutions, HireTo combines precision, speed, and scalability,ensuring the right candidates reach clients on time, every time.