The candidate will be jointly supervised by professor Vasilis Ntranos at UCSF and by the Data Sciences team at Maze Therapeutics.
A strong computational/statistical background and experience coding in R and use of other tools to work with genetic data is required
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While we have a passion for advanced science and pride ourselves on excellence in execution, ultimately, everything we do is about patients.
The first of these fellowships will focus on advancing the field of applied machine learning in the context of human genetic data.
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