# dbGaP Study Data Curator for NCI

**Company**: GDIT
**Location**: Bethesda, MD
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $142,792 - $184,000
**Category**: Data Science
**Industry**: Technology

**Apply**: https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/USA-MD-Bethesda/dbGaP-Study-Data-Curator-for-NCI_RQ229432-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2674d1f7-8c3

## Description

The dbGaP Curator will play a critical role in ensuring that high‑value genomic, phenotypic, and clinical research data are accurately curated, well‑documented, and responsibly prepared for secure and compliant sharing through dbGaP.

Responsibilities:

- Ensure NCI-supported studies are accurately curated, complete, and ready for compliant submission to dbGaP.

- Strengthen data quality by reviewing and validating phenotype, sample, and metadata files for clarity and consistency, carefully documenting curation decisions throughout the process.

- Standardize phenotype and variable metadata using controlled vocabularies to improve usability across studies.

- Identify missing, unclear, or inconsistent documentation and work with study teams to resolve gaps.

- Implement quality control checks that enhance the accuracy, completeness, and reliability of study submissions.

- Support updates to existing dbGaP records, maintaining accurate, current, and well‑documented study metadata.

- Collaborate with investigators, researchers, and NCI staff to support timely, transparent, and policy‑aligned data sharing.

Requirements:

- Master’s degree in a relevant scientific or data‑focused discipline (e.g., genomics, biomedical science, bioinformatics) with 1–3 years of submitting dbGaP data, and 4 years curating biomedical data.

- Proven experience reviewing, curating, and organizing scientific data, including genomic, phenotypic, and clinical metadata, in fast‑paced or complex research environments.

- Strong ability to quickly learn new workflows, study processes, and submission requirements, adapting effectively within an established team structure.

- Demonstrated expertise in metadata standards, data dictionaries, variable harmonization, and controlled vocabularies to ensure accuracy and consistency across studies.

- Demonstrated technical proficiency with large datasets, including advanced Excel, SQL, Linux/Unix, Python, and R.

- Experience performing rigorous quality control checks and identifying documentation gaps or inconsistencies in study materials.

- Strong communication skills to coordinate with investigators, NCI staff, study teams, and other stakeholders to resolve questions and obtain missing information.

Preferred Skills:

- Background creating large genomic, phenotypic, or epidemiologic datasets in a research environment.

- Proficiency coordinating with diverse study teams, investigators, and federal staff in complex or multi‑stakeholder environments.

- Direct curation experience working in the receipt of genomic, phenotypic, and clinical metadata.

- Teaching others how to collate, format, and curate data for data submission into government datasets.

Benefits:

- Medical plan options, some with Health Savings Accounts.

- Dental plan options.

- Vision plan.

- 401(k) plan with company match.

- Full flex work weeks.

- Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.

- Short and long-term disability benefits.

- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance.

## Skills

### Required
- Genomic Analysis
- Pandas Python Library
- R Programming
- Structured Query Language (SQL)
- Unix Operating Systems

### Nice to have
- Background creating large genomic, phenotypic, or epidemiologic datasets
- Proficiency coordinating with diverse study teams
- Direct curation experience
- Teaching others how to collate, format, and curate data

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