Genomic Data Curator​/Molecular Biologist – Sequence Analysis & Workflows

Do you enjoy applying your expertise in molecular biology to solve complex biological questions while improving the systems that manage scientific data?

Computercraft is seeking Genomic Data Curators/ Molecular Biologists to support the National Center for Biotechnology Information (NCBI), part of the National Library of Medicine at the National Institutes of Health in Bethesda, Maryland. In this multi-disciplinary role, you will apply your expertise in molecular biology and sequence analysis to ensure the quality and integrity of Gen Bank. You will also help improve the tools, workflows, and scientific standards that support the submission, validation, management and dissemination of biological sequence data.

You will combine detailed scientific analysis with strategic, systems-level thinking, working closely with biologists, bioinformaticians, software developers, and data engineers to improve how sequence data are managed and shared.

Computercraft has provided scientific expertise supporting Gen Bank continuously since 1991. Learn more at https://(Use the "Apply for this Job" box below)..

• Review nucleotide sequence and annotation data submitted by individual laboratories and large-scale sequencing projects.
• Evaluate submissions for biological integrity, consistency, accuracy, completeness, and compliance with Gen Bank standards
• Perform database curation and administrative activities related to the maintenance of Gen Bank and associated NCBI resources.
• Communicate directly with scientists and data submitters to resolve complex sequence and annotation quality issues.
• Evaluate data within the broader context of workflow dependencies, and the complete sequence data lifecycle.
• Contribute biological expertise to the development, testing, and refinement of automated data-processing pipelines and validation systems to improve efficiency, scalability, and scientific data quality.
• Help improve data standards, validation procedures, submission processes, and lifecycle-management practices across Gen Bank and related NCBI resources.
• Apply both detailed analytical review and strategic, systems-level thinking to continuously improve the quality, consistency, and management of biological sequence data.

• Ph.D. in molecular biology, genetics, genomics, microbiology, biochemistry, or a related scientific discipline preferred. Candidates with a Master's degree and substantial relevant experience may also be considered.
• 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 3days per week.
• Ability to obtain Public Trust clearance

• 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.

This position may be especially attractive to Ph.D.

-trained scientists or postdoctoral researchers who enjoy applying their biological expertise beyond the laboratory. The strongest candidates will be comfortable moving between detailed sequence review and broader questions about how scientific data are validated, processed, managed, and disseminated. They are comfortable collaborating with multidisciplinary teams to improve the tools and processes that support biological data management while ensuring the highest standards of scientific quality.

The anticipated salary range for this position is $90,000–$120,000 annually.

Computercraft offers an excellent benefits package that includes health, dental, vision, and disability and life insurance; a 401(k) plan with matching; paid leave starting at 128 hours/year for the first 3 years of employment; and 11 paid holidays. We also offer the opportunity for a positive work–life balance with a standard 40-hour work week and the chance to work alongside a team of highly accomplished professionals.

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