Lead Algorithm Developer (27296)
Take the lead in next generation data analysis, designing and developing new approaches to evaluate imaging and numerical data from microfluidic instrumentation for commercial use. Working alongside scientists and software developers you will create and evaluate algorithms using statistical, probabilistic and AI / machine learning approaches. This work is in the life sciences domain and 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.
- Specific domain experience within droplet-based microfluidics used for single cell analysis/cell sorting. Your CV will demonstrate sustained expertise in commercial-grade algorithm development, working from imaging and other data sources, derived from the application of one or more related techniques, and with industry hardware.
- Filtering and analysis of both numeric data (such as sensor data) and 2D imaging, 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
Please note that of course, we always get your permission before submitting your CV to a company.
