Back-End Software Engineer
Summary 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.
Responsibilities - 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
Requirements - 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
Benefits - 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 tom.gardner@oxfordknight.co.uk
020 3745 6533
linkedin.com/in/thomas-gardner-b1930a188/