Scientific Advisor, Computational Protein Design
Benefits:
competitive salary
generous equity stake
wide range of benefits
career progression opportunities
Education Requirements:
PhD in bioengineering, bioinformatics, molecular biology, structural biology, or a related field
Experience Requirements:
5+ years of experience in a scientific role directly related to protein engineering in industrial biotech or biopharma
Other Requirements:
Proficiency in data analysis using Python and relevant libraries
Deep knowledge of the protein engineering R&D process
Demonstrated interest in AI-guided protein design approaches
Experience with customer-facing roles in biotech (nice-to-have)
Experience with applying machine learning to protein engineering (nice-to-have)
Responsibilities:
Advise on identifying protein optimisation projects
Translate scientific goals of projects into objectives for the Cradle platform
Understand customer assays and workflows
Ensure quality/formatting of customer data is suitable for machine learning
Train scientists to use Cradle’s platform
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