Clinical Biostatistician

Tunnell Consulting - Massachusetts3.8

30+ days ago
Cancer Genomics - Bioinformatician - cbioportal developer

We seek an experienced bioinformatics scientist / computational biologist to join a dynamic Translational Medicine bioinformatics group dedicated to the development of cancer therapeutics.

In this role you will:
  • Proactively engage with a team of computational and bench biologists to gather requirements and to design and to specify modifications to the open-source cancer genomics cbioportal to enable Gene Set Enrichment Analysis
  • Interface with scientists from academic instructions, and third party software developers to clarify and prioritize requirements as well as mock-up designs to satisfy those requirements
  • Document requirements and communicate the design in such a way that the software that is delivered will meet needs of computational and bench biologists
  • Suggest any computational, statistical, machine learning or modeling capability needed to achieve the goals above
  • Curate clinical and preclinical datasets (both syntactic and semantic) to populate the portal with content
  • Experience in software requirements gathering, documentation, design, and development
  • Deep hands-on experience in cancer genomics is required
  • Deep hands on-experience in Gene Set Enrichment Analysis is required
  • Deep hands on-experience in the open-source cbioportal application is preferred
  • Deep hands on-experience in data curation is required
  • Experience at integrating publicly or commercially available genetic, genomic, and interaction datasets is a plus
  • Statistical programming skills like, SAS/S-plus, R/bioconductor and pipeline pilot or equivalents are a plus

Required Key Attributes
  • Positive, proactive can-do mindset
  • Demonstrated ability to lead projects of moderate scope, mapping-out critical path, milestones and timelines, as well as manage customer expectations with minimal supervision
  • Developed communication and presentation skills and a successful track record of collaborating with cross-functional scientific teams

Education: M.S. of PhD. in Bioinformatics, Computer Science or related fields with a minimum of 3-years research (academia or industry) developing software for bioinformatics applications and analysis of cancer genomics and genetics data.