At Lifebit, we carve our own path. We're open-source pioneers and our driving mission is to revolutionise bioinformatics and biomedical data analysis forever.
Our product, Lifebit CloudOS, is the world’s first federated genomics platform for unified, secure research over distributed big data. No one has anything close. Think best-in-class UI/UX, seamless integration with open-source tools, powerful cohort browser, advanced AI. We’re leading the industry and leaving competitors in the dust. We intend to keep it that way.
While we know our technology is unmatched, we also know we can keep making it greater without an exceptionally strong team to help take it to incredible new heights. (We’ve got some really big plans afoot...).
If you share our commitment to open source, bioinformatics, big data, Machine Learning, or AI we want to hear from you today.
As a Data Scientist in our team, you will spend time contributing to our data standardisation workflows and building ETL pipelines with R, python etc.
Requirements
We are looking for a Data Scientist with working experience in Healthcare or Life Sciences to join our team today.
You have demonstrable knowledge and experience in data science and specifically you have experience in:
Additionally, it is and advantage if you have:
Candidates that are able to share a sample code will be given priority. Please add as a collaborator with read access the Github user lifebit-workable in a repository of your choice that you can share code sample of your work, relative to the job role you are applying for.
Benefits
25 days of annual leave plus the usual public holidays
Monthly team activities
Mindfulness sessions and Mental Health tools
Access to special perks from different retailers
Conferences, events, and training resources (Data science, AI, cloud, any tech stack, painting, origami, you pick!) - we offer £1,000 a year to each person for personal development)
Private healthcare (including visual and dental)
An international and diverse team
Exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields
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