Scientific Consultant, Antibodies
vor 1 Monat
**This is Cradle**:
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 are already used by clients across pharma, biotech, agritech, foodtech, and academia.
We're an experienced team of over 40 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, a generous equity stake in the company and a wide range of benefits and career progression opportunities.
**Your Role**:
As a Scientific Consultant, you will play a key role in ensuring our customers achieve success with our software and services. You’ll work closely with biotech and pharmaceutical companies, mapping their needs and goals to Cradle’s capabilities, and guiding them in how to best use our platform for antibody discovery and optimisation. You’ll act as a trusted partner, ensuring that customers are maximising the value of our solutions to meet their business goals. Additionally, you’ll collaborate across Cradle teams, including engineering, product, sales, to ensure a smooth customer experience and inform product development based on customer feedback.
**Your Responsibilities**:
**Biotherapeutics solution advisory**:
- Work closely with customers with Biotherapeutics-related use cases, in particular Antibodies, to understand their scientific goals and propose tailored solutions using our protein discovery platform.
- Advise them on identifying projects within their portfolios that Cradle platform is best suited for.
**Customer Success Management**:
- Build and maintain strong relationships with Cradle’s users, monitor their satisfaction
- Collaborate with sales to identify new business opportunities within existing accounts.
**Your Qualifications**:
**Must-haves**:
- PhD in molecular biology, bioengineering, bioinformatics, or a related field.
- 5+ years of experience in biopharma in a scientific role in protein engineering, focussing on antibodies, with experience with biophysical and/or functional assays.
- Deep knowledge of the biopharmaceutical R&D process, methods, 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.
**Nice-to-haves**:
- Experience with machine learning
- 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.
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