Cradlebio

Scientific Advisor, Antibodies

Boston

Sponsorship not specifiedDetected 385 days ago

PythonMachine LearningPandasData ScienceSalesRecruitingCustomer SuccessBioinformaticsMolecular BiologyResearchCommunication

About the 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.
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.
Work closely with Cradle customers, ranging from medium-sized biotechs to global biopharma leaders, to:

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.
Collaborate with product teams at Cradle to guide product development so as to address customer needs.
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.
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.

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.
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.
PhD in molecular biology, bioengineering, bioinformatics, or a related field.
Proven ability to build strong relationships with a variety of stakeholders, including scientists and business leaders.
Experience with machine learning
Proficiency in Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.). Familiarity with SQL.

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.

Machine learning is revolutionizing this space, by enabling high-fidelity protein models.
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.
Ensure quality/formatting of customer data is suitable for machine learning
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.

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 engineering to ensure our platform outputs optimal protein designs to customers.
We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.
We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.

This listing is sourced directly from Cradlebio's careers page and normalized into a canonical job model.