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Bench scientist

Cambridge
Ziprecruiter
Scientist
Posted: 22h ago
Offer description

Overview

Job Description

Seeking a highly motivated scientist with experience in liquid-handling automation to establish binding and functional assays to support hit-to-lead discovery of large molecule therapeutics. The candidate will play a critical role in the design and execution of biochemical and of cell-based functional assays and high-throughput screening to support the biologics portfolio. The candidate will be responsible for the design and execution of experiments using a variety of detection technologies that may include HTRF, ELISA/DELFIA, FACS, and cell-based functional assays focused on signaling, proliferation, or cytotoxicity. In addition, the candidate will analyze data, present results at internal meetings, and closely collaborate with project team members to develop strategies and identify lead molecules. We are looking for a creative, solution-oriented individual who enjoys the opportunity to explore new methods.


Responsibilities

* Design and execution of biochemical and cell-based functional assays and high-throughput screening to support hit-to-lead discovery of large molecule therapeutics.
* Design and execution of experiments using detection technologies including HTRF, ELISA/DELFIA, FACS, and cell-based assays focusing on signaling, proliferation, or cytotoxicity.
* Analyze data, present results at internal meetings, and collaborate with project teams to develop strategies and identify lead molecules.
* Contribute to method development and explore new assay approaches.


Qualifications

* Assay Design/Validation and Data QC
* Excellent cell culture experience, ability to maintain multiple lines in parallel
* High Throughput Screening including use of automation including Beckman I series
* Experience with assay technologies including ELISA, FACS, cell-based reporter assays, AlphaLISA and cytotoxicity
* Familiar with analysis programs such as GeneData Screener and GraphPad Prism, and LIMS programs such as GeneData Biologics
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