Beghou
life sciences
Manager-DataAggregation
Neural analysis suggests this role is
optimal for Mid candidates.
“Manager- Data Aggregation at Beghou. Skills: Data Aggregation, Python, PySpark, Data Privacy, HIPAA, Tokenization, Expert Determination, Project Management. 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”
What You'll Achieve.
optimize their commercialization through strategic insight, advanced analytics, and technology; maximize performance across their portfolios; improve patient outcomes; drive client success
Industry & Context.
Logical thinking and problem-solving skills; analytical rigor
willingness to support US clients during US working hours with 3-4 hours of overlap
What They're Looking For.
Must Have
6+ years of relevant consulting-industry experience, Deep understanding of data management best practices, data modeling and data analytics, understanding of U. S. pharmaceutical datasets and their applications, Experience with tokenization tools/methods and expert determination for de-identification, programming skills in Python, working knowledge of PySpark, understanding of HIPAA, GDPR, and related data privacy regulations, Excellent verbal and written communication skills, organizational abilities and effective time management skills, Ability to thrive in an international matrix environment, willingness to support US clients during US working hours with 3-4 hours of overlap
Nice to Have
Familiarity with HISEC standards or other high-security frameworks
What You'll Do.
and aggregate patient-level data from Electronic Health Records (EHRs)
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
or external data sharing initiatives
and ensure proper documentation of data provenance and transformation
Provide support for audits
and internal data governance reviews
Design and implement end-to-end Data aggregation solutions tailored to business requirements using Python and Pyspark
develops recommendations
and communicates results to clients and internal teams
Assumes project management responsibilities for Data aggregation implementation on each project with minimal supervision
managing onshore/client communication
Manage multiple projects simultaneously while meeting deadlines
How You'll Work.
Team & Collaboration
collaborate with cross-functional teams; collaborate with clients and internal teams; managing onshore/client communication; leading meetings
Communication Scope
Excellent verbal and written communication skills; ability to convey complex information clearly to diverse audiences
Process & Methodology
Assumes project management responsibilities for Data aggregation implementation on each project with minimal supervision, managing onshore/client communication, leading meetings, drafting agendas, Manage multiple projects simultaneously while meeting deadlines
Full Job Description
## Description Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. The Patient Data Aggregator is responsible for the secure collection, standardization, and aggregation of sensitive patient data across multiple systems to support clinical, operational, and research needs. This role requires a strong understanding of data privacy protocols, including de-identification methodologies such as tokenization and expert determination, and must operate within a HISEC-compliant (High Security) environment. The candidate will collaborate with cross-functional teams to ensure data is managed in a secure, compliant, and usable manner. If you are passionate about utilizing your expertise in U.S. pharmaceutical datasets to drive client success, we invite you to apply for this exciting opportunity! ## 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-id
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