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Closing Date: November 28, 2020


The National Library of Medicine’s (NLM), National Center for Biotechnology Information (NCBI) is recruiting for a Staff Scientist 1. The position is in the Information Engineering Branch (IEB) and contributes to NCBI’s Reference Sequence (RefSeq) collection.  NLM is one of the 27 Institutes at the National Institutes of Health (NIH), part of the Department of Health and Human Services (DHHS).

The IEB is looking for an outstanding candidate to work on NCBI’s human and mouse RefSeq collection. The candidate will be responsible for:

  • analyzing, standardizing, disseminating, and curating data in the NCBI human and mouse RefSeq collection;
  • developing curation protocols and training new staff members;
  • integrating information from a wide variety of sources and data types to interpret complex biological problems, especially those involving complex gene expression patterns, patterns of alternative splicing, protein expression, non-coding ribonucleic acid (ncRNA) genes, and other genomic features that are critical to understanding the complexity of human gene expression;
  • providing critical expertise to NCBI in biological data curation of the human genome using bioinformatics experience;
  • providing user outreach to research scientists, data scientists, and clinicians; and
  • interacting and collaborating with scientists within and outside the NIH.

This position will be central to clinical and functional interpretation of large-scale human genomics projects.


The ideal candidate may or may not be a United States citizen and must have a doctoral degree and postdoctoral experience.

We are looking for an individual with:

  • a strong publication record;
  • a track record of outstanding research in genomics who can demonstrate expert knowledge in genomics, mammalian biology, bioinformatics of deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) sequence analysis, and regulation of gene expression in humans; 
  • general knowledge of sequencing techniques, genome assembly, and annotation methods;
  • strong knowledge of the strengths and weaknesses of high-throughput Big Data datasets such as Cap Analysis of Gene Expression (CAGE), epigenetic markers, RNA-seq, phylogenetics of Codon Substitution Frequency (phyloCSF), ribosome profiling, and mass spectrometry (MS) for the interpretation of patterns of gene expression, alternative splicing, and protein expression;
  • excellent communication and organization skills; and
  • a proven ability to successfully engage in multi-disciplinary collaborative research.

Salary is commensurate with research experience and accomplishments. A full package of benefits, including retirement, health, life, and long-term care insurance, Thrift Savings Plan participation, etc., is available.

The successful candidate will serve in a non-competitive appointment in the excepted service. 


Interested individuals should send a copy of their CV and Bibliography with names of three references along with a cover letter detailing research interests, a brief summary of communication and organizational skills, and evidence of engagement in multi-disciplinary collaborative research to Please include the Job Announcement number, NLM24-0004, in the cover letter. 

DHHS and NIH are Equal Opportunity Employers

Last Reviewed: October 28, 2020