Cradle
11 - 50 employees
🧬 Biotechnology
🤖 Artificial Intelligence
🔬 Science
Biotechnology • Artificial Intelligence • Science
Cradle is a biotechnology company that specializes in protein engineering using machine learning technology. It enables the design of improved variants of target protein sequences with ease, optimizing properties like enzyme activity, thermostability, solvent stability, solubility, and substrate specificity. The platform streamlines the process by integrating lab data and predictive performance scores, helping fast-track the development of proteins, such as enzymes, vaccines, peptides, and antibodies. Trusted by leading biotech teams, Cradle is designed to fit seamlessly into existing workflows while keeping data and intellectual property secure.
Solutions Consultant, Machine Learning
Job not on LinkedIn
🕒 April 10
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Cradle
11 - 50 employees
🧬 Biotechnology
🤖 Artificial Intelligence
🔬 Science
Biotechnology • Artificial Intelligence • Science
Cradle is a biotechnology company that specializes in protein engineering using machine learning technology. It enables the design of improved variants of target protein sequences with ease, optimizing properties like enzyme activity, thermostability, solvent stability, solubility, and substrate specificity. The platform streamlines the process by integrating lab data and predictive performance scores, helping fast-track the development of proteins, such as enzymes, vaccines, peptides, and antibodies. Trusted by leading biotech teams, Cradle is designed to fit seamlessly into existing workflows while keeping data and intellectual property secure.
📋 Description
• Own the technical discovery process with prospects • Build and deliver compelling technical demonstrations • Drive the conversation with computational and ML teams • Shape how Cradle tells its ML story externally • Feed insights from the field into the product and ML teams • Partner with and mentor other SSCs
🎯 Requirements
• A graduate degree (MS or PhD) in machine learning, computational biology, computer science, or a closely related field • Hands-on ML engineering experience • Familiarity with protein engineering or structural biology contexts • Ability to translate technical depth into clear, persuasive narratives for mixed audiences • Comfort working in a fast-moving, customer-facing role where no two conversations are the same • Willingness to travel 20–30%, including internationally
🏖️ Benefits
• Competitive salary • Generous equity stake in the company • Wide range of benefits • Career progression opportunities
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