Computational Biologist

Overview

Black Canyon Consulting (BCC) seeks a Computational Biologist (SRA Bioinformatics) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD. 

NCBI is part of the National Library of Medicine (NLM) at NIH. NCBI is the world’s premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health – at NCBI you can literally help to accelerate cures for diseases! NCBI’s wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to https://analytics.usa.gov/. 

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Job Responsibilities

• Lead team through a complete product lifecycle of discovery to delivery
• Lead data analysis and user research efforts and utilize findings in the development of product requirements and to inform objective decision making
• Develop product vision, goals, and strategic roadmaps and lead the execution  
• Prioritize product team actions and provide clear guidance to create incremental value in an Agile environment
• Develop partnerships and collaborations with internal and external stakeholders to improve data usability and impact

 Required Skills/Experience

• Doctorate level degree in bioinformatics, molecular biology, computational biology, data science, computer science, information technology, or a similar field
• Conceptual knowledge of genomics, molecular biology, and computational biology
• Practical knowledge of bioinformatics, bioinformatic tools, and the application of genomic sequencing data to biomedical and other scientific use cases
• Experience leading teams, setting team goals, prioritizing work based on available information and stakeholder needs, and utilizing metrics to measure success