Scientific Consultant in computational protein design helping biotech companies achieve protein design goals. Utilizing Cradle’s AI platform and collaborating across engineering and product teams for customer success.
Responsibilities
Work closely with Cradle customers to advise on identifying protein optimisation projects within their portfolios that are best suited to the Cradle platform.
Help translate scientific goals of projects into objectives for the Cradle platform.
Ensure quality/formatting of customer data is suitable for machine learning.
Train scientists to use Cradle’s platform.
Collaborate with engineering to ensure our platform outputs optimal protein designs to customers.
Present reports to help the customer interpret and assess platform outputs and forecasts.
Provide recommendations to inform go/no-go decisions and devise the most effective strategy for their projects.
Requirements
PhD in bioengineering, bioinformatics, molecular biology, structural biology, or a related field.
5+ years of experience in a scientific role directly related to protein engineering in industrial biotech or biopharma.
Proficiency in data analysis using Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.).
Deep knowledge of the protein engineering R&D process, methods, and tooling.
Excellent analytical and communication skills, with the ability to translate complex scientific concepts into clear, actionable insights.
Proven ability to build strong relationships with a variety of stakeholders, including scientists and business leaders.
Demonstrated interest in AI-guided protein design approaches.
Benefits
Very competitive salary
A generous equity stake in the company
A wide range of benefits and career progression opportunities
Job title
Scientific Consultant, Computational Protein Design
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