The Opportunity

We're looking for a Data Scientist, working in the Biotechnology/Medical Devices industry in Bedford, Massachusetts, United States.

  • Work as part of the IT Early Solutions team to enable innovative drug discovery projects at a new and rapidly expanding research site.
  • Provide day to day support of existing tools and systems, including training and bug fixing.
  • Identify gaps and challenges in the ITES platform and deliver innovative solutions that integrate with the existing platform and technology.
  • Work with the wider IT team and vendors to carry out system implementations from requirement gathering through to deployments and upgrades.
  • Influence how scientists and IT work together, drive the adoption of FAIR data principles and agile development practices to deliver a powerful data management platform.

The pay we are offering is 58 per hour. This position may present an opportunity to go permanent.

Our Client

Our client is a people driven staffing company.  Growing fast - 33% annually! 

How?  Building trusting relationships with top candidates. Like you!  You’ll get one-on-one time focused on your skills, needs, and discovering opportunities in which you’ll thrive.  The goal is to place you in the right position for you and your goals. 

Where?  Top IT and telecommunications companies.  You’ll make a difference and grow in Technology, Government Services, Professional Services, or Engineering.

Helping you achieve your goals!  It’s the right way and the only way to succeed in staffing.

Experience Required for Your Success
  • 5+ years experience in research IT/Informatics role
  • Experience in managing or supporting IDBS E-WorkBook, IDBS ActivityBase, Genedata Screener, Genedata BioReg, Titian Mosaic, TIBCO Spotfire, LabKey Server, or Benchling
  • Experience in managing data (capturing, analyzing or integrating) from a wide range of screening assays such as biochemical, cellular, phenotypic, kinetic, etc.
  • Pipeline pilot, Python scripting, SQL experience preferred
  • Experience supporting lab automation and sample logistics systems preferred
  • Experience managing high content data including Proteomics, Imaging, NGS would be useful
What Do You Think?

Does your experience reflect what it takes to be successful in this role? Do the work and challenges get you excited about what's possible? Apply here.

Not exactly? Join Our Talent Community, and we'll let you know of additional opportunities.


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