Antibody Machine Learning Graduate Student Internship

Adimabis the leading technology provider for therapeutic antibody drug discovery, focusing solely on our partnerships without pursuing an internal product pipeline. Since 2009, we havepartneredwith over 130 pharmaceutical and biotechnology companies, generating more than 600 therapeutic programs, of which more than
75have entered clinical trials.

Adimabseeksa graduate student interntocontribute to projects aimed at generatingde novo antibody designs for experimental testinginourplatform, as well as machine learning based predictions ofdevelopability properties.

• Experience in antibody:antigen structure prediction, computational binder design, orinsilicomethods fordistinguishingnativeprotein:protein interfaces,demonstrated through thesis work, presentations, preprints, or publications.
• Hands-on experience with Alpha Fold,Protein
  
  MPNN, 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.

• Generatede novoantibody designs using applicable computational methods.
• Work with experimental groups to test predictions and use their feedback to refine the design process.

• Fully on-site with our Computational Biology grouplocatedin Mountain View, California.
• Start date in Spring/Summer 2025forapproximately 12-16weeks.
• Competitive compensation and relocation assistance(if applicable).

Our integrated antibody discovery and engineering platform provides unprecedented speed from antigen to purified,full-length human

IgGswith exquisite specificity and biophysical behavior. We offer fundamental advantages by delivering diverse panels of antibodies that meet the most demanding standards for affinity, epitope specificity, species cross-reactivity, and develop ability. We enable our partners to rapidly expand theirbiologicspipelines through a broad spectrum of arrangements fortechnologyaccess.

Hourly Rate: $35 hourly