Consultant supporting Global Fraud Solutions at TransUnion. Focusing on Digital Onboarding commercialization in international markets and assisting regional teams.
About the role
- Responsible for secure collection and aggregation of sensitive patient data across systems to support clinical and research needs in life sciences. Collaborating with cross-functional teams to ensure secure and compliant data management.
Responsibilities
- 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
Requirements
- Engineering/Master’s Degree from a Tier-I/Tier-II institution/university in Computer Science or relevant concentration, with evidence of strong academic performance.
- 5+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.
Benefits
- Health insurance
- Professional development opportunities
- Hybrid work arrangement
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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