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Using a combination of science, machine learning and large-scale data this well funded start-up, backed by a team which has already built a billion-dollar revenue business from the ground up, is looking for a back-end software engineer. The team includes some of the most-cited scientists in the world and has beaten Google on machine learning for advertising.
They plan to design and build systems primarily to collect, analyse and predict the data. They are building their data analysis and processing pipeline from scratch using Python data science and machine learning tools running on top of AWS. Agile development with Jira, daily stand-ups and git.
Design and build the scalable back-end for mass market products
Design and build the database's analysis pipelines that support the clients' models
Be responsible for the underlying compute and storage infrastructure on AWS
Manage and process trial and customer data
Design and build simple web applications to support the data collected from clinical trials
Degree (or PhD) in Computer Science, Data Science, Mathematics or Physics
5+ years' experience building strong, reliable data management and processing systems
Ability to quickly approach and complete tasks within a tightly-knit team, including Bioinformaticians, Data Science and Machine Learning experts
Experience with Python - both on the data science/machine learning toolkit end, e.g. Pandas. NumPy, SciPy, and on the server-side frameworks, e.g. Django, Flask
Experience with Linux data infrastructure, e.g. AWS, SQL, Docker, Ansible
To be part of a revolutionary movement in health technology with the opportunity to learn cutting-edge science across biology and genomics
Being part of an exciting start-up in London which has no funding worries and is part of a commercial team that has built a billion-dollar revenue business
Being one of the first 10 colleagues in a world-class, trailblazing, multi-disciplinary team
Competitive salary and share options
Contact If you are interested in this role, please do not hesitate to contact me.
Tom Gardner email@example.com 07557 028165 linkedin.com/in/thomas-gardner-b1930a188/