Computational Protein Design Scientist

Join us and make YOUR mark on the World! We have an opening for a Computational Protein Design Scientist to conduct research advancing our next-generation, machine learning-driven computational pipeline for protein design and optimization of protein-protein interactions.

Requirements

• Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related technical field
• Comprehensive knowledge and experience developing and applying algorithms in one or more of the following machine learning areas: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning
• Experience developing and implementing deep learning models and algorithms, and knowledge of and proficiency using modern software libraries such as PyTorch, TensorFlow, or similar
• Demonstrated domain knowledge and experience in protein structure machine learning, bioinformatics, and protein structure modeling sufficient to communicate effectively with team members and subject matter experts
• Proficient verbal and written communication and interpersonal skills and initiative necessary to work independently, collaborate effectively within a multidisciplinary team environment, interact with all levels of personnel, and present and explain technical information to varied audiences

Benefits

• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules
• Generous Paid Time Off