Job Description

Bioinformatics Analyst - Boston, MA



Date Posted:


Employment Type:



Xavier Fermin

Recruiter Email:

Job ID:

JN -102020-14211

Job Description

AVID Technical Resources is partnering with our client to find a Bioinformatics Systems Analyst for a full time opportunity in Boston, MA.

Job Summary:
The Bioinformatics Systems Analyst will work closely with a multidisciplinary team to build a cutting edge medical research platform. 

Essential Duties and Responsibilities:
  • Create and maintain R and Python examples
  • Create and maintain documentation and examples showing researchers how to use the proprietary client libraries in R and Python and other tools to assist in scientific analysis.
  • Develop scientific use cases using phenotypic and genomic data types accessed through the proprietary client libraries in R and Python
  • Create useful high level statistics operations that can be implemented by developers as part of the proprietary client.
  • Curate data concept paths and hierarchies to be more user friendly
  • Performs preliminary analysis of genomic and phenotype data and format for use by other analysts.
  • Troubleshooting quality control anomalies generated by automated pipelines.
  • Propose improvements and new uses for the proprietary client.
  • Propose solutions to optimize the platform to better serve end users.
  • Collaborate with software developers to provide new feature requirements.
  • Champion the proprietary client Ecosystem.
  • Demonstrate and present on the proprietary client to the research community.
  • Contribute to scientific writing and creation of data figures to be included in research publications.
  • Meet and discuss with researchers to identify analytical challenges and goals.

  • Minimum Master’s Degree in Bioinformatics, Biomedical Informatics, Genomics, Biostatistics or a related field and 1 years relevant work experience in a Bioinformatics Analyst or specific statistical analysis experience using R and Python for Biomedical research.
  • Proficiency with R and Python is compulsory.
  • Experience developing scientific use cases using phenotypic and genomic data.
  • Must have R and Python samples.
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