Clinical Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 15d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source 3h ago.
We have tracked this listing since 17 Oct 2026 (15 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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JazzHR employer's own board first seen 15d ago · last seen 3h ago
The listing
Purpose: The Clinical Data Engineer will be an individual contributor to the Medical Affairs department. The role will encompass the development and pipeline management and curation of clinical datasets for internal reports, external presentations, manuscripts and publications, and to inform future clinical trial design.
This is a remote role requiring valid work authorization in the U.S. without requiring employer sponsorship.
Responsibilities:
Develop and maintain ELT/ETL pipelines for daily and weekly electronic health record (EHR) data extracts.
Migrate structured CSV data into databases/data warehouse/data lake to enable efficient querying
Develop dashboards for tracking the performance and effectiveness of the IntelliSep solution in improving clinical outcomes, operational efficiency, and financial performance and provide insights into customer-related metrics and the potential impact on patient outcomes and hospital reimbursement.
Standardize tables and data artifacts towards a canonical data schema.
Develop documentation and methodologies for infrastructure.
Handle protected health information (PHI) and other sensitive clinical data in accordance with HIPAA and Cytovale's data privacy and security policies, ensuring data integrity, traceability, and appropriate access controls throughout the data pipeline.
Maintain version control for code and data.
Support quality improvement activities for customers by building systems and tools for post-implementation data analysis
Qualifications:
Bachelor’s degree in computer science, electrical engineering, or related field.
3+ years of industry related experience, ideally working with EHR or clinical data.
Proficiency in Python, SQL, bash and Git
Strong analytical skills with the ability to interpret and present data effectively.
Familiarity with AWS, GCP, Azure, or other cloud computing providers (AWS preferred); experience with dbt, or similar transformation tools, is a plus.
Working knowledge of HIPAA and PHI-handling requirements, with experience implementing data privacy, security, and integrity controls in a healthcare or clinical data environment.
Candidate must be able to function as an individual contributor with minimal direct oversight.
A passion for understanding complex issues with a data driven approach, experimenting and iterating on different ways to solve a problem.