Antibody Machine Learning Graduate Student Internship
About The Position
Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on our partnerships without pursuing an internal product pipeline. Since 2009, we have partnered with over 130 pharmaceutical and biotechnology companies, generating more than 600 therapeutic programs, of which more than 75 have entered clinical trials. Adimab seeks a graduate student intern to contribute to projects aimed at generating de novo antibody designs for experimental testing in our platform, as well as machine learning based predictions of developability properties.
Requirements
- Experience in antibody:antigen structure prediction, computational binder design, or in silico methods for distinguishing native protein:protein interfaces, demonstrated through thesis work, presentations, preprints, or publications.
- Hands-on experience with AlphaFold, ProteinMPNN, and similar tools; proficient in Python, Tensorflow, and PyTorch.
- The ideal candidate has passed their PhD qualifiers and is 3-4 years into the program.
Responsibilities
- Generate de novo antibody designs using applicable computational methods.
- Work with experimental groups to test predictions and use their feedback to refine the design process.
Benefits
- Competitive compensation
- Relocation assistance (if applicable)
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
Number of Employees
101-250 employees
