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As a Scientific Advisor within our Customer Success team, you will play a key role in ensuring our customers achieve their protein design goals using Cradle’s AI platform. You’ll act as a trusted partner of biotech and pharmaceutical companies, particularly for biotherapeutics. As part of this role, you’ll assist customers in mapping their program goals and data to Cradle’s capabilities, using our machine learning platform, and maximising the value and impact of our protein optimisation software. For this, you’ll collaborate across Cradle’s engineering, product, and sales teams to ensure a superb customer experience and inform product development to build the most sought-after features.
Job Responsibility:
Scientific advisory: Work closely with Cradle customers to advise on identifying protein optimisation projects best suited to the Cradle platform
Help translate scientific goals of projects into objectives for the Cradle platform
Deeply understand customer assays/workflows
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
Partnership: Build and maintain strong relationships with immediate users of Cradle platform within the customer organization, as well as broader business stakeholders
Help existing customers identify further projects and business units that would benefit from Cradle’s platform, and collaborate with the Cradle sales team to enable these projects through relationship expansion
Customer Experience and Voice of customer: Measure and monitor satisfaction of the customers with product as well as service
Proactively gather customer feedback, and keep the customers informed as their feedback is then turned into improved features and services
Collaborate with product teams at Cradle to guide product development so as to address customer needs
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, working with/analyzing/producing activity and biophysical assays data
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, awareness of popular open-source LLM and structure-based approaches
Nice to have:
Demonstrated experience being in a customer-facing roles in the biotech industry, collaborating with external stakeholders
You have been the technical lead on projects, managing timelines and deliverables, while keeping stakeholders informed
Experience with applying machine learning to protein engineering projects