Computational Biologist

Full Time

Computercraft is seeking a biologist or bioinformatician with experience in the management and curation of functional classifications, with substantial expertise in scripting and design of data processing pipelines. The successful candidate will assist the Protein Domains team in evaluating external classification resources and model organism databases for their suitability as sources of novel protein (domain) family models, and in establishing respective data import strategies and pipelines. This work is aimed at improving coverage and accuracy of protein functional annotation as provided via conserved domain architecture, and at reducing the amount of manual curation work involved in the process. This is a full-time position which is currently remote.

Protein Domain resources are developed as a means to provide base-line protein functional annotation and support the consistent annotation of genome content. Responsibilities of the Bioinformatics Scientist will include data quality control and curation, import, annotation, and integration of external data, as well as communication with data providers and customers.

Our scientists work in a production-oriented, rather than research-oriented, environment supporting the National Center for Biotechnology Information (NCBI), part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI is one of the world’s premier biomedical center. It has one of the top 400 most visited websites worldwide, and its wide range of applications serve more users and more data than nearly any other U.S. Government agency. NCBI provides free access to petabytes of biomedical and genomic information, and scientists all over the world use its products.

Job Responsibilities

  • Critically evaluating datasets and functional annotations to assess quality
  • Evaluating software to aid in manual and automated construction of protein family models
  • Developing and monitoring automated dataflows for loading data to production databases
  • Providing critical expertise to NCBI in biological data curation of protein family models using subject matter knowledge and bioinformatics experience
  • User outreach to research scientists, data scientists, and clinicians
  • Interacting and collaborating with scientists within and outside the NIH

Desired Skills/Experience

  • Master’s degree
  • A strong publication record
  • A track record of outstanding research in functional characterization or classification of proteins, expert knowledge in genomics, systems biology, or proteomics
  • Research experience with model organisms (a plus)
  • Experience with comparative analysis of protein three-dimensional structure (a plus)
  • Expertise in bioinformatics of protein sequence analysis and tools including BLAST and multiple sequence aligners; expertise in constructing probabilistic models representing conserved families
  • Expertise in the development of robust workflows for automated data processing, including protein multiple sequence alignment and transfer of annotation in the context of functional ontologies
  • Proficiency in Python
  • Experience with SQL and shell scripting
  • Experience in interpreting complex biological problems, critically analyzing the scientific literature
  • Excellent communication and organization skills
  • A proven ability to successfully engage in multi-disciplinary collaborative research
  • Must be able to obtain a Public Trust and be located in the United States currently. We cannot accommodate remote work from any other International Location. 

The compensation for this position will be based on the experience of the successful candidate. The expected pay range for this position is $95,000 to $125,000 annually.

Computercraft offers a competitive salary, an excellent benefits package, 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. Per Computercraft policies, all employees must be fully vaccinated against COVID-19.

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