This job has expired

Automation Engineer

S3 Science
Closing date
15 Oct 2021

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Salary Band
Hourly Rate, At least £30.00
Contract Type
Full Time
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Automation Engineer

Here at S3 Science, we are proud to be collaborating with an innovative Tissue-Engineering start-up company, who have seen significant growth through 2020. This is an exciting opportunity to have a real impact on the development of the client's high-throughput automation platform, achieving their goals as being one of the industry leaders in their field. This is a temporary contract position with excellent salary bandings on offer.

The Role

As an Automation Engineer you will be responsible to implement the company's cell based high-throughput screening platform and your duties will include:

* Assemble, implement and validate new automation equipment, including the development of standardised operation procedures and maintenance systems

* Interact with scientists across the company to develop and optimise cell culturing protocols and cell-based assay protocols on the automation platform ensuring optimal efficiency & performance

* Troubleshoot high-throughput automated workflows as required

* Write, debug, and deploy code for integrating laboratory automation devices

* Design, plan, and execute complex R&D experiments ensuring that deliverables are successfully met within timelines

* Develop and implement a system for large data-set acquisition, collation, processing, and analysis to generate high quality information for experimental in

Role Requirements

The successful candidate for the Automation Engineer role will have the following skills and experience:

* Two or more years' experience in developing automation platforms in the pharmaceutical or similar industry

* Experience of developing, implementing & optimising complex protocols on liquid handling automation platforms

* Proven experience in cell and/or biochemical high-throughput screening approaches and ability to troubleshoot screening problems

* A proven track record in the application of data processing and statistical methods to large biological data sets

* Experience in culture media and small molecule screening

* Experience working with adherent mammalian cell cultures

* Experience with high content imagers and related image analysis systems

* Understanding of state-of-the-art assay and automation technology platforms

* Experience of applying DoE (design of experiments) practice to multi-variable experiments
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