STAFF SCIENTIST 1, REFSEQ VIRUS DATA WRANGLER
NATIONAL LIBRARY OF MEDICINE, BETHESDA, MARYLAND
Applications will be accepted from July 27, 2021 - August 27, 2021
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 virus Reference Sequence (RefSeq) resources. NLM is one of the 27 Institutes at the National Institutes of Health (NIH), part of the Department of Health and Human Services (DHHS).
NLM is looking for an outstanding candidate to help process and analyze data in NCBI’s RefSeq Virus group. The candidate will be responsible for:
- collecting, processing, and analyzing biological datasets to support virus variant classification and reporting;
- evaluating software to aid in the assembly of next-generation sequencing data and the calculation of viral variants;
- developing and monitoring automated dataflows for loading data to production databases;
- providing critical expertise to NCBI in the curation of virus data using bioinformatics experience;
- user outreach to research scientists, data scientists, and clinicians;
- interacting and collaborating with scientists within and outside the NIH to help optimize data to meet the needs of clinical and basic researchers and public health professionals.
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 track record of research or work in viral genomics and with expert knowledge of genomics, virology, and bioinformatics;
- a strong publication record;
- familiarity with virus taxonomy including variant classification approaches
- experience in bioinformatics of DNA and RNA sequence analysis and the development of robust workflows for automated data processing, including expertise in analyzing data to identify sequence variations;
- experience working with data from the NLM/NCBI Sequence Read Archive;
- familiarity with cloud computing and data storage;
- proficiency in Python;
- experience with SQL;
- experience in interpreting complex biological problems, critically analyzing the scientific literature, and demonstrating a thorough understanding of the strengths and weaknesses of high-throughput experimental datasets;
- general knowledge of sequencing techniques, genome assembly, and annotation methods;
- excellent communication and organization skills;
- 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 on a non-competitive appointment in the excepted service.
HOW TO APPLY:
Interested individuals should send a copy of their CV and Bibliography with names of three references. Include a cover letter detailing research interests and a brief summary of communication and organizational skills and evidence of engagement in multi-disciplinary collaborative research. Send all information to firstname.lastname@example.org. Please include the Job Announcement number, NLM 34-0002, in your cover letter. Applications will be accepted until the position is filled.
DHHS and NIH are Equal Opportunity Employers
Last Reviewed: July 27, 2021