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Post-Doc Research Associate (Haendel)

University of North Carolina- Chapel Hill

NC-Chapel-Hill, NCResearchSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
NC-Chapel-Hill, NC
Role Type
Research
Work Authorization
Not specified

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Job overview

The Postdoctoral Research Associate will develop and evaluate methods to define rare disease cohort controls and assess and reduce re-identification risk in rare disease data. The work includes estimating uniqueness, modeling risks from public sources, designing disclosure controls, and measuring effects on statistical utility. The associate will engage patient advocacy groups, data stewards, and IRBs to develop practical guidance that protects patients while preserving research value.

Skills & qualifications

RequiredNice to have

Skills

Rare Disease ResearchBiomedical OntologiesCoding SystemsDe-Identification StandardsDisclosure Control ToolsSecure Data EnvironmentsPatient Advocacy EngagementResearch GovernanceWritten CommunicationTechnical Communication

Qualifications

Human Subjects Research TrainingStrong Publication Record

Full job description

Vacancy ID: PDS005013

Position Summary/Description:

The Postdoctoral Research Associate will investigate methods for defining rare disease cohort controls and assessing and reducing re-identification risk in rare disease data, including EHR , claims, registry, and linked real-world data. Specifically, this will include developing a framework for organizing privacy risk factors unique to rare conditions, estimating sample and population uniqueness using multiple data resources and reference populations, and modeling added risk from public sources such as advocacy registries, case reports, and social media.

The Postdoctoral Research Associate will design and evaluate the creation of control populations for small, rare disease populations where traditional propensity methods may not be appropriate. They will also design disclosure controls, including ontology-based aggregation, phenotype coarsening, suppression, and access-based approaches such as enclaves and federated analysis, and measure their effects on statistical utility. The work will involve engagement with patient advocacy groups, data stewards, and IRBs, and requires human subjects research training. The goals of the work will be to develop practical guidance and methods that protect rare disease patients while preserving the scientific value of their data for research.

Education and Experience:

The preferred candidate will have the following:

  • Research experience in rare diseases, or familiarity with the challenges of small-population and low-count data

  • Knowledge of biomedical ontologies and coding systems such as Mondo, HPO , ICD , SNOMED CT, or OMOP

  • Familiarity with de-identification standards and regulations, including HIPAA Safe Harbor and Expert Determination, and with disclosure control tools such as sdcMicro or ARX

  • Experience with secure data environments, including data enclaves, federated analysis, or cloud-based research platforms

  • Experience engaging patient advocacy groups, IRBs, or community stakeholders in research design or data governance

  • A strong publication record and excellent written communication skills, including the ability to turn technical findings into practical guidance for non-technical audiences

How this job compares

Set against the 807 open Postdoctoral Researcher jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This postingNot listed
  • US median$70–80K/yr389 salary ranges
Openings
Olive Jobs lists 24 open Postdoctoral Researcher jobs in North Carolina and 807 across the US. Under 1% of them nationwide are listed as remote or flexible.
Experience
Postdoctoral Researcher postings that state a minimum ask for 1 year of experience at the median; the middle half ask for 0 to 3 years (55 postings).
Education
673 of the 807 open Postdoctoral Researcher jobs (83%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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