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- PHD - Bioinformatics, ML, Cheminformatics, Structural Biology
- Proficiency in Python, Numpy, Pandas, Scikit-Learn, Git, Antibody design and evaluation software, ETC.
- It is essential you have worked with Antibodies (insilico work eg. Structure predicton)
- Publications to evidence your expertise withML Biologics
- Cloud computing
- Software development
- NGS experience (Preferred, not essential)
ML Engineers - United Kingdom - Umbilical Life
Description
My client, a biotechnology company focusing on protein design and engineering, is searching for a ML Engineer focusing on structural Biology and Antibodies.
We are looking for an enthusiastic researcher who wants to continue to develop their specialist skills in this space, the company has a flat hierarchy reporting to C-level.
The role is fully remote; this posting is specific to LIFE SCIENCE ML ENGINEERS
(If you are a Tech ML Engineer, not working with Biological Data, please reach out )
Your Profile
This position is flexible in the seniority of the candidate (Individual Contributor) - we can hire specialise PHD Graduates.
QUESTIONS - Let's Connect
ellie.-
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