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
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.
- 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).