Senior Lead Software Engineer

2 weeks ago


United Kingdom CellVoyant Full time

CellVoyant is a biotechnology company that predicts stem cell differentiation using live cell microscopy and artificial intelligence. We use this approach to optimise and unlock human tissue manufacturing for research and therapeutics applications.
We spun out from the Carazo Salas lab at the University of Bristol in 2022 and are backed by venture capital firms who were the earliest investors in DeepMind, Exscientia, Recursion, Wayve, and Abcam.
As Lead Software Engineer, you are responsible for the design, build and continuous improvement of the software infrastructure and applications that power our core cell fate prediction platform.
You’ll be working closely with the Machine Learning team (who build, integrate, test and scale our computer vision for cell fate prediction) and Biology team (who design and run our cell biology experiments for microscopy data collection and differentiation protocol development).
You will build software that the Biology team uses to capture, store, and analyse microscopy data, and that the Machine Learning team uses to build, integrate, test and scale ML features for production.
Provide technical leadership and implement software engineering best practices, including defining the vision and software strategy at CellVoyant in collaboration with the leadership team.
Define and build internal applications and data products for our Biology team with a focus on scalable and reproducible workflows. This includes a platform for storing, visualising, and analysing high-resolution microscopy data and tracking all experimental data.
Collaborate with the Machine Learning team to define and build our internal training, testing, and serving infrastructure.
5+ years software engineering experience with full lifecycle development from design and inception to production.
~ Experience managing a team of software engineers.
~ Expertise with cloud infrastructure, distributed systems, continuous integration systems and unit testing.
~ High standards for clear, actionable communication of data-driven processes.

Experience in a biotechnology company or a background in biology are  not necessary, but intellectual curiosity is a must
Experience working on AI-first software products, data platforms, and machine learning infrastructure tools, and bonus if in the context of biotechnology.
Join at the ground level to work at the cutting-edge of artificial intelligence, stem cell biology, empirical experiment automation, and cell therapy development.
Competitive salary and founding equity compensation.
Ability to work remotely or in our Bristol, UK headquarters and join bi-annual week-long company off sites.
Initial phone screen (30 mins)
com including the role’s title in the subject line with your CV or personal website where we can learn about your experience.
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