Cradlebio

Scientific Advisor, Antibodies

Boston, Remote. Posted 16 months ago

The role

You will act as a partner to biotech and pharmaceutical companies to ensure success with Cradle's software and services. You will assist customers in mapping program goals to the machine learning platform and collaborate with internal teams to inform product development.

What you will do

  • Advise on identifying protein optimisation projects suited to the Cradle platform
  • Translate scientific goals into objectives for the Cradle platform
  • Understand customer assays and workflows
  • Ensure quality and formatting of customer data for machine learning
  • Train customers to use the platform
  • Collaborate with engineering to ensure optimal protein designs
  • Present reports to help customers interpret platform outputs
  • Provide recommendations for project strategies and go/no-go decisions
  • Build and maintain relationships with users and business stakeholders
  • Monitor customer satisfaction and gather feedback to guide product development

Required qualifications

  • 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
  • Experience with biophysical and/or functional assays
  • Deep knowledge of the biopharmaceutical R&D process, methods, and tooling
  • Excellent analytical and communication skills
  • Proven ability to build strong relationships with scientists and business leaders

Nice to have

  • 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

  • competitive salary
  • generous equity stake
  • wide range of benefits
  • career progression opportunities

About the company

Cradle offers a software platform for AI-guided discovery and optimization of proteins. The team consists of just under 100 people distributed across Amsterdam, Boston, and Zurich.