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Algorithm development, life science, imaging, fluoresence, Python, ML / AI
Take the lead in next generation data analysis, designing and developing new approaches to evaluate imaging and numerical data from scientific instrumentation for commercial use. Working alongside scientists and software developers you will create and evaluate algorithms using statistical, probabilistic and AI / machine learning approaches.
Since this work is in the life sciences domain, prior work in this area is advantageous. Previous experience creating commercial-grade algorithms and/or analysing data in the field of cell therapy (or other cell analytics), fluorescence, droplet imaging and/or microfluidics is especially valued. Your work will help shape future approaches to this data pipeline.
You will have:
- A good bachelor’s or higher degree (or equivalent) in a STEM subject; a relevant PhD is beneficial but not required. A strong mathematical background is very helpful.
- Significant expertise developing commercial-grade algorithms for the filtering and analysis of both numeric data (such as sensor data) and 2D imaging, ideally in a life science context working with industry hardware. You may have created these algorithms in Python or other languages such as C or C++, R, Java, C# or Fortran.
- Good technical communication skills, as you’ll be working in cross-discipline environment with scientists and software developers.
- Team leadership experience would be beneficial for future growth, particularly leading a small analytical team in a scientific context.
Salary ranges up to £70k depending on experience. Benefits include up to a day per week home working, flexible start and finish times, a competitive pension, private medical cover, income protection, life assurance, enhance maternity/paternity leave and athletic memberships. The company is in cycling distance from central Cambridge and on major bus routes.
Keywords: algorithm development, Python, 2D imaging, numerical data, instrumentation, cell therapy, fluorescence, droplet imaging, microfluidics, team lead, C, C++, R, Java, C#, Fortran, Cambridge
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