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Scientific Advisor, Antibodies(m/w/x)
Advising on protein optimization projects using AI-guided discovery software. PhD in molecular biology or related field, with 5+ years in antibody protein engineering required. Generous equity stake, career progression opportunities.
Requirements
- PhD in molecular biology, bioengineering, bioinformatics, or related field
- 5+ years biopharma scientific role experience in protein engineering (antibodies)
- Deep knowledge of biopharmaceutical R&D process, methods, and tooling
- Excellent analytical and communication skills
- Ability to build strong stakeholder relationships
- Experience with machine learning
- Experience with non-antibody protein modalities (enzymes)
- Relationship management or sales experience in biotech/software
- Proficiency in Python and data science libraries
- Familiarity with SQL
Tasks
- Advise on protein optimisation projects
- Translate scientific goals to platform objectives
- Understand customer assays and workflows
- Ensure data quality for machine learning
- Train customers on Cradle’s platform
- Collaborate with engineering for optimal designs
- Present reports to interpret platform outputs
- Provide recommendations for project decisions
- Build strong relationships with users and stakeholders
- Identify additional projects for Cradle’s platform
- Collaborate with sales to expand relationships
- Measure and monitor customer satisfaction
- Gather and implement customer feedback
- Guide product development to meet customer needs
Work Experience
- 5 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit
- scipy
- matplotlib
- SQL
Benefits
Competitive Pay
- Competitive salary
- Generous equity stake
Career Advancement
- Career progression opportunities
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Scientific Advisor, Antibodies(m/w/x)
Advising on protein optimization projects using AI-guided discovery software. PhD in molecular biology or related field, with 5+ years in antibody protein engineering required. Generous equity stake, career progression opportunities.
Requirements
- PhD in molecular biology, bioengineering, bioinformatics, or related field
- 5+ years biopharma scientific role experience in protein engineering (antibodies)
- Deep knowledge of biopharmaceutical R&D process, methods, and tooling
- Excellent analytical and communication skills
- Ability to build strong stakeholder relationships
- Experience with machine learning
- Experience with non-antibody protein modalities (enzymes)
- Relationship management or sales experience in biotech/software
- Proficiency in Python and data science libraries
- Familiarity with SQL
Tasks
- Advise on protein optimisation projects
- Translate scientific goals to platform objectives
- Understand customer assays and workflows
- Ensure data quality for machine learning
- Train customers on Cradle’s platform
- Collaborate with engineering for optimal designs
- Present reports to interpret platform outputs
- Provide recommendations for project decisions
- Build strong relationships with users and stakeholders
- Identify additional projects for Cradle’s platform
- Collaborate with sales to expand relationships
- Measure and monitor customer satisfaction
- Gather and implement customer feedback
- Guide product development to meet customer needs
Work Experience
- 5 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit
- scipy
- matplotlib
- SQL
Benefits
Competitive Pay
- Competitive salary
- Generous equity stake
Career Advancement
- Career progression opportunities
About the Company
Cradle
Industry
Science
Description
The company offers a software platform for AI-guided discovery and optimization of proteins, enabling faster design at scale.
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