Job:Bioinformatics Data Wrangler with Computercraft @ NCBI
0
0
Entering edit mode
3.1 years ago
jyu ▴ 90

Computercraft is seeking data wranglers to contribute to an exciting new initiative of the National Center for Biotechnology Information (NCBI), part of the National Library of Medicine at the National Institutes of Health (NIH), to expand tools and resources for working with genomic data. NCBI is planning a major modernization of its resources, their user interfaces, and their underlying infrastructure to support the rapidly growing collections of sequence and other data on species across the tree of life. By rearchitecting these resources, NCBI aims to improve the user experience for researchers doing a wide range of work, reach more users, support more research organisms, and ultimately drive biomedical discoveries that have the potential to improve human health.

Data wranglers with collective expertise in a variety of eukaryotic organismal backgrounds will primarily perform analyses on new and refined tools to assess quality, and ensure the tools meet the needs of users. The data wranglers will serve a central role between users and the development team, understanding the perspective of users and ensuring NCBI develops the interfaces and exchange of content users need with a high level of data quality.

This is a full-time position working on site at NCBI, NIH, in Bethesda, Maryland, but the new hire will initially telework. Currently, all Computercraft employees at NIH are teleworking full time to prevent the spread of coronavirus. Employees will return to onsite work as soon as it is deemed safe to do so.

Job Responsibilities

  • Providing critical expertise to NCBI in biological data curation of eukaryotic genomes using bioinformatics experience
  • Critically evaluating datasets and genome annotations to assess quality
  • Evaluating software to aid in automated gene annotation and sequence analysis
  • Using biological subject matter expertise to guide development of new public software and web resources for genomic analyses
  • Providing insights about how research scientists, data scientists, and clinicians use tools and genomic data
  • Interacting and coordinating with scientists within and outside the NIH

Required Skills/Experience

  • Ph.D. in molecular biology, genomics, or a related field
  • Postdoctoral or other experience independently conducting research
  • Strong publication record
  • Track record of outstanding research in genomics and expert knowledge in genomics, proteomics, biological processes, and regulation of gene expression
  • General knowledge of sequencing techniques, genome assembly, and annotation methods and tools including BLAST, genome assemblers, and aligners
  • Expertise in bioinformatics of deoxyribonucleic (DNA) and ribonucleic (RNA) sequence analysis
  • Expertise 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
  • Excellent communication and organization skills
  • Proven ability to successfully engage in multi-disciplinary collaborative research
  • Research experience with model organisms
  • Strong desire to support public scientific databases

Desired Skills/Experience

  • Familiarity with use of statistical analyses for biological data
  • Experience in the development of robust workflows for automated data processing, including alignment of RNA-Seq datasets and quality analysis of results
  • Proficiency in Python
  • Experience with SQL and shell scripting

To apply for this position or learn about other Computercraft job opportunities, please visit the Careers section of our website: https://www.computercraft-usa.com/.

Computercraft offers a competitive salary, an excellent benefits package, and 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. Computercraft is an equal opportunity employer.

data-wrangler sequencing genome • 878 views
ADD COMMENT

Login before adding your answer.

Traffic: 1781 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6