Consultant- Data Aggregation(336)

We'll trust you to:

• 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

You'll need to have:

• Engineering/Master’s Degree from a Tier-I/Tier-II institution/university in Computer Science or relevant concentration, with evidence of strong academic performance.
• 4+ years of relevant consulting-industry experience
• Deep understanding of data management best practices, data modeling and data analytics
• Strong understanding of U.S. pharmaceutical datasets and their applications
• Experience with tokenization tools/methodsand expert determination for de-identification.
• Logical thinking and problem-solving skills along with an ability to collaborate.
• Familiarity with HISEC standards or other high-security frameworks
• Strong programming skills in Python and working knowledge of PySpark.
• Proficiency in Microsoft Office products,data analysis tools (e.g., Snowflake, Redshift) and job orchestration (Airflow, Databricks workflows)
• Strong understanding of HIPAA, GDPR, and related data privacy regulations.
• Excellent verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences
• Strong organizational abilities and effective time management skills
• Ability to thrive in an international matrix environment and willingness to support US clients during US working hours with 3-4 hours of overlap.