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CradleCR

Solutions Consultant, Machine Learning

Cradle leverages AI to expedite protein engineering, enabling teams to generate better protein candidates faster while ensuring data privacy.

Cradle
United States only

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Cradle is a software platform for AI-guided discovery and optimization of proteins. We're looking for a Solutions Consultant with machine learning expertise to partner with biotech and pharma companies, drive technical conversations, and feed insights into product development.

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
  • Range of benefits and career progression opportunities

About the job

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Job type

Full Time

Experience level

Location requirements

Hiring timezones

United States +/- 0 hours

About Cradle

Learn more about Cradle and their company culture.

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Cradle is at the forefront of protein engineering and AI technology, allowing scientific teams to engineer proteins faster and more efficiently. With a focus on leveraging AI, Cradle generates protein candidates and enhances their properties, resulting in more breakthroughs with fewer experimental rounds. This process is guided by the user's own experimental data, empowering teams to streamline their workflows significantly.

Companies such as Novo Nordisk, Johnson & Johnson, and IFF leverage Cradle's innovative platform to achieve superior protein optimization. The AI-powered design tools enable users to craft highly effective solutions across various applications, including therapeutics, agricultural innovations, and food ingredient development. By ensuring private, secure access to experimental data, Cradle guarantees that only the authorized team can utilize their proprietary information without any risk of data being used to train models for other organizations, giving them full control over their intellectual property.

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