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Job Description
Structured overview of role & requirementsAbout This Role
Securely collect, clean, and aggregate sensitive patient-level data from EHRs, labs, and external databases following compliance protocols.
Manage end-to-end data aggregation solutions, ensuring de-identification (tokenization, expert determination) and compliance with HIPAA and HISEC standards.
Lead project management activities including client communication, quality monitoring, documentation, and delivery across multiple simultaneous projects.
Minimum Requirements
6+ years of relevant consulting-industry experience.
Engineering or Master’s degree in Computer Science or relevant field from Tier-I/Tier-II institution with strong academic record.
Proven expertise in U.S. pharmaceutical datasets, data privacy regulations (HIPAA, GDPR), and de-identification methods (tokenization, expert determination).
Strong Python programming skills and working knowledge of PySpark; familiarity with Snowflake, Redshift, Airflow, Databricks workflows; experience operating within HISEC or equivalent high-security frameworks.
Ideal Candidate Profile
Experienced in consulting environments handling U.S. pharmaceutical data with strong domain-specific technical capabilities.
Comfortable managing multiple data aggregation projects independently, including client interactions and meetings across US time zones.
Skilled at implementing compliant, secure, and scalable data pipelines and data governance in complex, high-security, regulated contexts.