Kelly
Bioinformatics Scientist (NGS)- NIH
Skills
25 days ago
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Important information
Contract type:
Freelance / Contract
Salary:
$115,000 – $135,000 / year
Location:
Durham, NC, USA
Work mode:
Hybrid
Published on:
2 October 2026
What they need
Kelly Government Solutions is a strategic supplier and business partner to the federal government and its key suppliers. Through our partnership with the National Institutes of Health, Kelly Government Solutions offers administrative, IT, engineering, scientific, and healthcare professionals the opportunity to work with the leading medical research center in the world. We are seeking an Bioinformatics Scientist to support the National Institutes of Health (NIH) in Durham, NC. This is an on-site position, with a potential to work a hybrid schedule.
This is a full-time long term contract position which offers:
Competitive compensation and comprehensive benefit package
Optional health, vision, and dental plans
Vacation leave as well as paid federal holidays and 401K plan.
Access to NIH’s unparalleled resources and niche scientific initiatives
POSITION SUMMARY:
Support, coordinate, and oversee the implementation of multiple first-in-human and phase II studies in inpatient and outpatient areas within the Endocrinology specialty.
TASKS/SERVICES
- Perform clinical trials duties in accordance with standards of nursing practice and the Code of Ethics
- Conduct analyses on NextGen sequencing data including data derived in ChIP-Seq, RNA-Seq, miRNA-Seq and other experimental models.
- Conduct analysis and interpretation on data from genomic platforms including expression, exon, tiling, promoter and others array types.
- Conduct data analysis and interpretation on other large data types in genomic context.
- Establish and maintain work flows including experimental design, analyses of data quality, genome and meta-genome integration and others.
- Write utility scripts, macros and or custom programs or algorithms in support of biological discovery.
REQUIREMENTS
- Minimum of Masters Degree required, with Ph.D. preferred in Bioinformatics, Biostatistics, Computational Biology or a related biological/life science discipline.
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