Consultant

• Collect, clean, and aggregate patient-level data from Electronic Health Records (EHRs), lab systems, and external databases.
• Apply tokenization techniques to replace direct identifiers while preserving data integrity for linkage and analysis.
• Perform or support expert determination de-identification processes to evaluate and minimize re-identification risk in datasets.
• Ensure all activities comply with HIPAA, and institutional privacy policies, particularly within HISEC environments.
• Manage and maintain secure data pipelines and repositories for sensitive patient information.
• Assist in the development of standard operating procedures (SOPs) for secure data aggregation and handling.
• Support the generation of anonymized datasets for research, analytics, or external data sharing initiatives.
• Monitor data quality, flag inconsistencies, and ensure proper documentation of data provenance and transformation.
• Provide support for audits, security assessments, and internal data governance reviews.
• Design and implement end-to-end Data aggregation solutions tailored to business requirements using Python and Pyspark.
• Synthesizes findings, develops recommendations, and communicates results to clients and internal teams.
• Assumes project management responsibilities for Data aggregation implementation on each project with minimal supervision, including managing onshore/client communication, leading meetings, and drafting agendas.
• Manage multiple projects simultaneously while meeting deadlines.

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