Key Responsibilities

Data Extract Development & Implementation

• Build client-specific extracts based on technical and clinical documentation.

• Translate RWD specifications into executable SQL logic.

• Develop and maintain database queries, procedures, and pipelines for structuring RWD.

• Implement extract logic aligned with definitions, inclusion/exclusion criteria, and business rules.

• Follow version-controlled workflows to ensure traceability and reproducibility.

Real-World Data Support

• Work with diverse healthcare datasets:

o Open and closed claims

o EHR/EMR records o Lab results

o NLP-derived and unstructured data • Apply knowledge of healthcare data structures and coding systems (ICD, CPT, LOINC, NDC).

• Account for source-specific nuances during extract development.

Quality & Delivery

• Review extract outputs to ensure alignment with specifications.

• Troubleshoot logic and data issues in collaboration with peers.

• Incorporate feedback and evolving requirements into extract logic.

• Support downstream delivery by producing reliable, well-documented datasets.

Collaboration & Teamwork

• Partner with analytics, engineering, and delivery teams to clarify requirements.

• Participate in a team-based delivery model.

• Communicate clearly around logic, assumptions, and data considerations.





• Contribute to shared documentation and knowledge bases.

Required Experience

• Bachelors degree in Data Science, Computer Science, Engineering, Public Health, Biostatistics, Epidemiology, or related field.

• 2+ years working with and querying large healthcare databases.

• Strong proficiency in SQL, including complex multi-table queries.

• Hands-on experience with claims, EHR/EMR, and lab data.

• Understanding of the life sciences industry and drug development lifecycle.

• Experience implementing data specifications in production environments.

• Familiarity with Git or other version control systems. • Solid attention to detail and ability to work within structured requirements.

• Proven ability to collaborate effectively in team settings.

Preferred Skills

• Exposure to unstructured or NLP-derived healthcare data.

• Experience translating clinical/scientific documentation into database logic.

• Familiarity with Python, R, Airflow, or similar tools for data pipelines.

• Experience supporting client-facing data delivery workflows.

• Comfort working in governed, production-oriented environments.

• Experience collaborating with clients to translate needs into actionable outputs.

📌 Data Analyst (Tamil Nadu)
🏢 Straive
📍 Tamil Nadu