Scientific Consultant, Customer Success

This is Cradle

Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.

Machine learning is revolutionising this space, by enabling highfidelity protein models. At Cradle, we offer a software platform for AIguided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia.

Were an experienced team of roughly 60 people. Weve built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture.

We offer our employees a very competitive salary, a generous equity stake (for full time employees) in the company and a wide range of benefits and career progression opportunities.

Your Role

As a Scientific Advisor within our Customer Success team, you will play a key role in ensuring our customers achieve success with Cradle’s software and services. You’ll act as a trusted partner of biotech and pharmaceutical companies, particularly for biotherapeutic and antibody projects. 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 soughtafter features.

Your Responsibilities

Scientific advisory

Work closely with Cradle customers, ranging from mediumsized biotechs to global biopharma leaders, to:

• Advise on identifying protein optimisation projects within their portfolios that are best suited to the Cradle platform.

• Help translate scientific goals of projects (predominantly biotherapeutics) into objectives for the Cradle platform.

• Deeply understand customer assaysworkflows – research modalitiestargets as necessary to gain a foundation in relevant concepts, assays and workflows.

• Ensure qualityformatting of customer data is suitable for machine learning

• Train them 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 gonogo 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. Keep them abreast of results and impact, on both project and portfolio levels.

  • 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.

    • Your Qualifications
      

      Musthaves

      • PhD in molecular biology, bioengineering, bioinformatics, or a related field.

      • 5+ years of experience in biopharma in a scientific role in protein engineering, focusing on antibodies, with experience with biophysical andor functional assays.

      • Deep knowledge of the biopharmaceutical 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.

      • Nicetohaves

        • Experience with machine learning

        • Experience with nonantibody protein modalities, particularly enzymes.

        • Experience in relationship management andor sales in biotech or software industry

        • Proficiency in Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.). Familiarity with SQL.

        • A notice about recruitment scams: Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.

          Evaluation of your application using AI. Cradle may use artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications. The AIMLgenerated assessments are one of several factors considered in the hiring process. Our human recruiters thoroughly evaluate your skills and qualifications to determine your suitability for the role.