Bioinformatics Data Scientist

Dana-Farber Cancer Institute
Job Location
Boston, MA
Job Description

The Dana-Farber Cancer Institute/Partners Healthcare Clinical & Translational Informatics (CTI) group is the Institute’s resource for providing databases and applications that help clinicians and researchers gain insights based on clinical and research data. The Bioinformatics Data Scientist will work with consumers of CTI data to help understand, analyze, and interpret clinical and research data provided by CTI platforms. Additionally, the incumbent will be available as a resource to be deployed to Principle Investigators who require both subject matter expertise and bioinformatics abilities for a specific project.  Incumbent will also assist with the evaluation, design and implementation of  improved analytic tools and resources for entire research community. The incumbent reports to the Team Lead for bioinformatics and business analysts and will be responsible for driving CTI platforms forward by acting as the voice of the customer, working on custom bioinformatics projects, and relaying software and data improvements back to the CTI team. 

  • Work with end users to help analyze and interpret data.
  • Perform ad hoc bioinformatics/data analysis as needed for end users.
  • Help end users build analytical/statistical/software solutions for larger projects Develop and promote ideas for new analytical tools and resources that will make analysis easier and more effective for the entire research community.
  • Build library of standard scripts that may be recycled for common use cases.
  • Keep abreast of latest scientific/industry advances in genomics and cancer, sharing this knowledge as appropriate with end users and CTI staff.
  • Feed requirements back to CTI analyst team to drive offerings forward based on end user needs.
  • Maintain a thorough understanding of current clinical and genetic data, as well as a sense of upcoming features in the roadmap.
  • Assist with development of data quality assurance processes and high quality data documentation.
  • Support upstream bioinformatics needs within CTI development as needed.
  • Other duties as assigned.
  • Bachelor’s Degree required, preferably in Bioinformatics, Biostatistics, Computational Biology, Genetics, or a related field.  MS/PhD preferred.
  • 5+ years bioinformatics experience with either Perl, Python, SAS, R, SQL, or related data analysis language
  • 2+ years experience with statistics, data analysis, and visualization of NGS and/or cancer data
  • 1+ year running bioinformatics pipelines on cloud computing/compute clusters preferred
  • Experience with common bioinformatics tools, databases, genomic browsers, and commercial applications strongly preferred [NCBI, Genbank, UCSC, VEP, OncoTator, GATK, cBioPortal, TCGA, ESP, KEGG, COSMIC, etc.]
  • Experience writing scientific publications a plus
How to Apply

E-mail CV and cover letter to

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