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Pune metro and mid-level requirements increase interest, but healthcare/HIPAA specialization limits broad applicant pool.
Requires specialized US pharmaceutical datasets and de-identification/HIPAA expertise, limiting cross-industry transferability.
Requires specific 6+ years consulting experience, HIPAA/HISEC domain knowledge, and mandatory PySpark/Snowflake skills.
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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.
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.
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.