Scientific Consultant - Customer Success

Job not on LinkedIn

🕒 July 2, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏆 Customer Success

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Cradle

WebsiteLinkedInAll Job Openings

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

• Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. • Machine learning is revolutionising this space, by enabling high-fidelity protein models. • At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. • We're an experienced team of roughly 60 people. • We've 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.

🎯 Requirements

• 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 and/or 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. • Experience with machine learning • Experience with non-antibody protein modalities, particularly enzymes. • Experience in relationship management and/or sales in biotech or software industry • Proficiency in Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.). Familiarity with SQL.

🏖️ Benefits

• Generous equity stake (for full time employees) in the company • Wide range of benefits and career progression opportunities.