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).