Postdoctoral Researcher in Machine Learning for Protein Engineering (Remote)

Job summary

The position involves developing machine learning techniques specifically for protein engineering, focusing on capturing epistatic effects in proteins and optimizing both additive and epistatic effects through advanced modeling. Collaboration with domain experts on optimizing a specific enzyme will be a key aspect of the role.

Qualifications

• PhD degree or equivalent in a relevant field.
• Experience in machine learning, particularly in protein engineering.
• Familiarity with Bayesian optimization and uncertainty quantification is preferred.
• Basic understanding of proteins and biology is advantageous.
• Strong collaborative spirit is essential.

Responsibilities

• Investigate and model epistatic effects in proteins using machine learning.
• Develop and optimize machine learning models for protein engineering applications.
• Collaborate with experts on enzyme optimization projects.

Skills

• Proficiency in machine learning methodologies.
• Experience with Bayesian optimization techniques.
• Ability to quantify uncertainty in models.

Education

• A PhD degree in a relevant discipline is required.

Tools

• Machine learning frameworks and tools relevant to protein engineering.