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

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

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