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Scientific Advisor, Antibodies
Accelerate protein discovery and optimize properties like stability and binding with AI models that learn from experimental data to reduce wet lab cycles.
Benefits:
competitive salary
generous equity stake
wide range of benefits
career progression opportunities
Education Requirements:
PhD in molecular biology, bioengineering, bioinformatics, or a related field
Experience Requirements:
5+ years of experience in biopharma in a scientific role in protein engineering, focusing on antibodies
Other Requirements:
Deep knowledge of the biopharmaceutical R&D process, methods, and tooling
Excellent analytical and communication skills
Ability to build strong relationships with a variety of stakeholders
Experience with machine learning (nice-to-have)
Proficiency in Python and relevant data science libraries (nice-to-have)
Responsibilities:
Advise on identifying protein optimisation projects
Translate scientific goals of projects into objectives for the Cradle platform
Understand customer assays and workflows
Ensure quality/formatting of customer data is suitable for machine learning
Train customers to use Cradle’s platform
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Engagement Manager, US
Accelerate protein discovery and optimize properties like stability and binding with AI models that learn from experimental data to reduce wet lab cycles.
Benefits:
competitive salary
generous equity stake
wide range of benefits
career progression opportunities
Education Requirements:
MSc or advanced degree in Molecular Biology, Biotechnology, Bioengineering, or a related field
Experience Requirements:
5–7+ years in enterprise client-facing roles ideally in Life Sciences
Other Requirements:
Deep understanding of biopharma R&D workflows
Proven ability to lead complex, multi-stakeholder programs
Strong relationship-building and executive presence
Willingness to travel to customer sites (20%)
Experience managing enterprise SaaS deployments (nice-to-have)
Responsibilities:
Oversee post-sale success across global biotech and pharma customers
Define and track portfolio-level success metrics and ROI
Establish and lead steering committees
Coordinate with Scientific Advisors for smooth project initiation
Communicate customer feedback to drive product improvements
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Account Executive, Global Pharma Accounts
Accelerate protein discovery and optimize properties like stability and binding with AI models that learn from experimental data to reduce wet lab cycles.
Benefits:
competitive salary
generous equity stake
wide range of benefits
career progression opportunities
Education Requirements:
Advanced degree in the life sciences (e.g. molecular biology, bioinformatics, biochemical engineering)
Experience Requirements:
5+ years in B2B sales (ideally SaaS) with a proven track record of exceeding quota
Other Requirements:
Confidence navigating highly technical topics for R&D stakeholders
Ability to thrive in fast-paced, ambiguous environments
Strong business network across biotech/pharma on the US East Coast (nice-to-have)
Domain knowledge in machine learning (nice-to-have)
Prior experience at a B2B growth-stage startup (nice-to-have)
Responsibilities:
Drive business development across global biotech and biopharma
Own strategic accounts, delivering millions in recurring revenue
Partner cross-functionally to shape high-impact project proposals
Act as the voice of the market to inform product direction
Build a personal brand in the biotech and AI-for-science space
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