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STAFF SCIENTIST 1, WEB ANALYST

National Library of Medicine, Bethesda, Maryland

CLOSING DATE: 10/15/2020

POSITION INFORMATION:
The National Library of Medicine’s (NLM), National Center for Biotechnology Information (NCBI) is recruiting for a Staff Scientist 1 in the Information Engineering Branch (IEB) to analyze current user behavior and market conditions of online scientific resources such as PubMed (bibliographic database for biomedical literature), GenBank (genetic sequence database), and Gene (databases and tools for the study of genes). NLM is a component of the National Institutes of Health (NIH), part of the Department of Health and Human Services (DHHS). NLM’s NCBI creates public databases, conducts research in computational biology, develops software tools for analyzing genome data, and disseminates biomedical information for the better understanding of molecular processes affecting human health and disease.

The IEB is looking for an outstanding and creative professional scientist to work with NCBI development groups to design new scientific resources or make improvements to existing scientific resources in response to community needs. Principal responsibilities will include the following:

  • The development of sophisticated experimental web-based techniques in molecular biology with a broad, interdisciplinary applicability
  • Assess the current performance of existing resources using an extensive suite of in-house and third-party web analysis tools including Google Analytics, Google Big Query, and Tableau
  • Develop new and improved approaches for producing scientific business intelligence from web analysis data using data science methods
  • Investigate the functional success of NCBI web sites in cooperation with usability testing staff
  • Gather user requirements and concerns by participating in and compiling scientific data from NCBI education and outreach initiatives, including courses, webinars, technical support, online surveys, user interviews, NCBI social media platforms, and exhibitions at scientific conferences
  • Compile and communicate the results of these analyses to NCBI developers, stakeholders, and management to guide future design efforts

QUALIFICATIONS/ELIGIBILITY:  
The ideal candidate may or may not be a United States citizen and must have a Ph.D. in a field that meets the qualifications.  Candidates with a Ph.D. in molecular biology or a related field is preferred.

We are looking for an individual with the following:

  • a track record of at least three years of experience deriving business intelligence from large scientific datasets using standard practices of statistics and data science;
  • development of specific software and continuously updated databases for, respectively, analyzing and storing data on genome annotations, genotypes,  gene expression levelscytogenetic profiles and other molecular features;
  • the ability to use web-based tools for the analysis of data from molecular biology experiments in a production environment;
  • familiarity with methods of machine learning and natural language processing;
  • fluency with at least one scripting language (e.g. Python, Perl) and SQL;
  • familiarity with LINUX/UNIX operating systems and cloud computing environments;
  • experience with web analytics, data visualization, and user-centered design;
  • proven ability to successfully engage in multi-disciplinary collaborative research;
  • experience working in Agile development teams;
  • excellent communication and organizational skills.

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 the names of three references. Include a cover letter detailing research interests,  a brief summary of communication and organizational skills and evidence of engagement in multi-disciplinary scientific collaborative research to ncbijobs@ncbi.nlm.nih.gov. Please include the announcement number, NLM23-0004, in your cover letter. Applications will be accepted until the position is filled.

DHHS, NIH, and NLM are Equal Opportunity Employers

Last Reviewed: September 16, 2020