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Vacancy: Data Science Internship
Digi.Bio is looking for a student or recent graduate with a background in computer science and/or mathematics, who wants to learn about and work at the intersection of engineering, data, and biology. As a member of our R&D team, you will make a large impact on the development of our next-generation product in the field of personalized cancer immunotherapy, a nascent field with a high potential for impact. In this role, you will be reporting directly to the CTO and have the opportunity to work on interesting biological datasets. This internship is open to BSc and MSc students who are enrolled in Computer Science, Data Science, AI, or related degrees and are looking to do an internship as a part of their degree.
Some of the work that you may be involved in include
… and if you like dipping your hands in other aspects of the tech we develop once in a while, there’s plenty of nerdy conversations to join as well!
Your academic background is either
BSc/MSc in data science / informatics / AI / statistics / math or similars
Essential Requirements
Experience with
Additional Desirable Requirements
We offer
Find out more about Digi.Bio on our website https://digi.bio/.
If you are interested, please sign up via this form https://bit.ly/3JzCAeX and attach your CV and motivation letter. Only applications submitted through the form will be processed.
Research shows that while male candidates feel confident enough to apply when they meet about 60% of the requirements, female candidates only apply when they tick every box. So if this role has your name on it, but you’re not sure about the criteria, we still want to hear from you.
Please note that we do not sponsor visa applications. Therefore, the applicant must be currently based in the EU and does not require a visa sponsorship.
Digi.Bio is a digital biology company working at the intersection of biology, computation, and engineering. We aim to deliver next generation technology platforms powered by lab-on-a-chip and artificial intelligence for faster automation of biologics development, enabling cheaper medicines to benefit all.
Resources:
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