Collect, clean, and aggregate patient-level data from EHRs, lab systems, and external databases
Apply tokenization to replace direct identifiers while keeping data usable for linkage
Perform or support expert determination de-identification of datasets
Design and implement end-to-end data aggregation solutions using Python and PySpark
Lead project management and client communication for data aggregation implementations
From the employer’s posting
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.
Design and implement end-to-end Data aggregation solutions tailored to business requirements using Python and Pyspark.
Assumes project management responsibilities for Data aggregation implementation on each project with minimal supervision, including managing onshore/client communication, leading meetings, and drafting agendas
Education & alternatives
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
Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Jun 12, 2026154 days ago
Recorded sightings
96
Last seen by us
Nov 13, 2026
Jun 12, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 154
652
Up longer than most. Similar jobs usually come down between day 6 and day 52.
Well past Beghouconsulting’s usual: its jobs come down by about day 58.
From 1,770 similar postings that came down, and 45 of Beghouconsulting’s. Coming down is not always a hire.
Beghouconsulting is hiring
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
Databricks
Redshift
Snowflake
Airflow
PySpark
Where the posting names them
- 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.
- 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 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.
New Data Governance postings at the employers we follow are up 170% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
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-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.
At Beghou Consulting, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!
