Senior Bioinformatics Developer - Synthetic Biology
We are searching for a senior bioinformatics developer for our biology-based tech client in Cambridge.
This is a newly created role with plenty of opportunity to grow and earn more responsibilities as the company expands. You will be developing complex bioinformatic algorithms that categorise huge amounts of data that is being produced by the company's latest product. The company's product is at the intersection of science and engineering which means it will be a truly multidisciplinary team of fellow scientists and engineers, all working together on this ground-breaking product.
You will be utilising your software skills to design and develop sequencing tools and algorithms which will integrate with lab systems and support tools, as well as searching for and validating open source bioinformatics tools.
You will also build an understanding of user lab processes and workflows and help develop cloud-based workflows to support the biology and chemistry research teams.
This is a great opportunity to join a company and make a real difference with your knowledge and experience, leading bioinformatics projects from day one.
We are looking for senior scientists who have developed code in Python coupled with experience in the bioinformatics field. This will be complemented by an engineering or science related degree and experience with cloud computing. Any prior knowledge of experimental NGS data would be advantageous to your application, as would hands-on knowledge of Bash.
The client is offering competitive salaries as well as a comprehensive benefits package that includes share options and a variety of other benefits.
For more information, please call Matthew Lowdon of Newton Colmore Consulting on (phone number removed) or make an application and one of our team will be in touch.
Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices and biotechnology field. We help our clients find the expert engineers and scientists they need to develop and commercialise ground-breaking technologies.
Key words: Data Scientist, Machine Learning, Bioinformatics, Medical Devices, Engineering, Physics, ISO 13485, Biotechnology
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