Synthace's mission is to develop a software platform that empowers biologists to leverage the infinite potential of biology and help solve the grand challenges facing humanity.
What you'll be doing
This is a software development role, where it would also be advantageous for you to have lab-based experience or have a good understanding of how lab work is conducted, but you will not be required to do any wet-lab work. Your intelligence, adaptability, communication skills and work ethic will be at the heart of being successful in this position.
Working closely with our Lab and Commercial teams, you will be working to build products that analyse experimental data to produce scientific insight. Projects will range from making incremental improvements to existing analysis tools, to creating brand new applications that integrate results from multiple assays to give scientists unified understanding of an experiment.
At the outset, you will mostly be focussed on building generalised data analysis and visualisation tools that integrate data from multiple devices and experiments, initially in a bioprocessing context. A few examples of specific techniques involved would be metabolite analysers, bioreactors, purification systems and cytometers.
You need to have relevant bioprocessing or scientific data processing experience - it's likely that you'll have a PhD and maybe Post-Doc level experience
You must have coding experience with R, MATLAB, Python, or general-purpose programming languages
Excellent data analysis skills using statistical packages
You're used to working to a high level of scientific rigour
Knowledge and/or experience of hands-on lab work
You'll need to be able to demonstrate ability to communicate in a multi-disciplinary environment during internal discussion and external client facing activities
Experience with abstracting scientific concepts in computational space
Ability to work independently but actively seek out resources when needed
You're proactive, with a willingness to learn in a highly dynamic environment
You know how to work effectively and cross-functionally to deliver prioritised tasks
(Desirable) Experience coding in Python
If you've used NumPy, Pandas, SciPy or other numerical libraries