Genomic Data Curator / Molecular Biologist – Sequence Analysis & Workflows
$90,000–$120,000 year
On-siteBethesda, Maryland, United States
Job Summary
Review nucleotide sequence and annotation data submitted by laboratories and large-scale sequencing projects to ensure biological integrity, consistency, accuracy, and compliance with GenBank standards. Evaluate submissions within the broader context of workflow dependencies and the complete sequence data lifecycle. Perform database curation and administrative activities related to the maintenance of GenBank and associated NCBI resources. Communicate directly with scientists and data submitters to resolve complex quality issues. Contribute biological expertise to the development, testing, and refinement of automated data-processing pipelines and validation systems. Help improve data standards, validation procedures, and lifecycle-management practices across GenBank. Apply detailed analytical review and strategic, systems-level thinking to continuously improve the quality and management of biological sequence data.
Required Qualifications
- Ph.D. in molecular biology, genetics, genomics, microbiology, biochemistry, or a related scientific discipline
- Extensive experience in DNA sequence analysis, biological data analysis, and/or laboratory molecular biology
- Experience analyzing large or complex biological datasets
- Strong understanding of data quality, validation, and scientific review
- Excellent scientific, written, and verbal communication skills
- Demonstrates attention to detail while maintaining the ability to think strategically about scientific data systems and workflows
- Ability to evaluate scientific data in the context of database structures, workflows, and life-cycle management
- Ability to work independently while contributing effectively within a multidisciplinary team
- Ability to work on the NIH campus in Bethesda, Maryland, at least 3 days per week
- Ability to obtain Public Trust clearance
Desired Qualifications
- Master's degree and substantial relevant experience
- Experience with biological databases, sequence curation, genomic annotation, or large-scale data-management workflows
- Experience designing, improving, validating, or testing automated scientific workflows or data-processing pipelines
- Familiarity with DNA sequencing technologies, genome-assembly methods, and sequence-analysis tools
- Experience collaborating with bioinformaticians, software developers, or data engineers
- Interest in evolving technologies, including automated and AI-assisted workflows
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