Genomic Data Curator for dbGaP

Computercraft Corporation • Bethesda, MD

6d • $95,000 - $115,000 • Onsite

About The Position

Computercraft is seeking a Genomic Data Curator to support the Database of Genotypes and Phenotypes (dbGaP) at the National Center for Biotechnology Information (NCBI), part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH) in Bethesda, Maryland. The position curates clinical phenotype and multi-omics data submitted to dbGaP, helping make human genomics research data accurate, consistent, and reusable. The curator works with investigators and NCBI colleagues to standardize data, resolve inconsistencies, and support responsible sharing through a controlled-access research repository.

The role requires working onsite five days per week at the NIH campus in Bethesda, Maryland. It requires a Ph.D. in a biomedical field, experience with human clinical phenotype data and high-throughput molecular biology datasets, and proficiency with data analysis and processing tools including Excel, SQL, Linux/Unix, Python, and R. The successful candidate will apply relevant data-sharing policies, informed consent requirements, data use limitations, and privacy protections, while collaborating with research teams and documenting curation decisions.

Requirements

• Ph.D. in a biomedical field such as bioinformatics, genetics, data science, epidemiology, or molecular biology.
• Experience working with human clinical phenotype data and high-throughput molecular biology datasets.
• Understanding of study design, metadata interpretation, genomic data, and tabular data formats.
• Advanced Excel proficiency and strong quantitative data analysis skills.
• Proficiency with SQL databases and Linux/Unix, and the ability to use Python and R to manage and process large datasets.
• Working knowledge of informed consent, data use limitations, NIH Genomic Data Sharing policies, and controlled-access data privacy requirements.
• Excellent oral and written communication skills, including the ability to explain data issues and document scientific decisions.
• Ability to collaborate with a team in a production environment and maintain careful attention to data quality.
• Ability to obtain public trust clearance.

Nice To Haves

• Additional experience in human genetics or clinical data analysis.
• Experience interpreting or applying research data-sharing policies.
• Experience using NCBI resources, particularly dbGaP.

Responsibilities

• Review clinical phenotype, genotype, and multi-omics submissions, interpreting study design and metadata to assess completeness, consistency, and scientific context.
• Review genomic and tabular data formats and identify missing information, inconsistent values, and other data quality issues.
• Standardize researcher-submitted phenotype data using controlled vocabularies and consistent terminology.
• Implement quality control protocols to validate data and improve consistency across studies.
• Use advanced Excel, SQL, Linux/Unix, Python, and R to review, manage, and process large, complex datasets.
• Apply NIH Genomic Data Sharing policies, informed consent requirements, and data use limitations during curation.
• Follow controlled-access data management requirements and privacy protections when handling human research data.
• Collaborate with investigators, researchers, and internal team members to resolve submission questions and data inconsistencies.
• Document curation decisions, supporting rationale, and data quality findings clearly to support consistent production workflows.

Benefits

• Health, dental, vision, disability, and life insurance.
• 401(k) plan with matching.
• Paid leave starting at 128 hours per year for the first three years of employment.
• 11 paid holidays.
• Standard 40-hour work week and the opportunity for a positive work–life balance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree