As Cradle Academy Developer, you'll spearhead building Cradle Academy: the educational foundation that empowers scientists to master protein engineering with AI. You'll create the curriculum, content, and hands-on learning experiences that transform how researchers adopt and succeed with Cradle's platform, from their first onboarding session through advanced applications. Your work will help to scale scientific enablement across Cradle’s user base of wet lab and computational protein scientists. You'll work closely with Customer Success, Sales, Product and Machine Learning Research teams to produce accessible technical guides, instructional content, build practical demo environments, design interactive workshops, and establish best practices that accelerate time-to-value for computational and experimental scientists alike. Through your work, Cradle Academy will ensure that every scientist - regardless of their computational background - can confidently design better proteins with Cradle. # Your Responsibilities
Content Development and Curriculum Design
Design and deliver comprehensive onboarding curricula that bring new users from platform basics to confident, independent usage
Create high-quality educational materials including step-by-step technical guides, video tutorials, explainer content, and interactive workshops
Establish and maintain documentation standards that ensure content remains current, accurate, and scientifically rigorous
Create interactive sandbox environments where scientists can self-educate and experiment with Cradle's platform in a low-stakes setting. - Work with Product teams to create educational content for new features and capabilities. Collaborate with Scientific Solutions Consultants and Scientific Advisors to design and maintain demo projects and datasets that provide realistic, hands-on learning experiences. - Develop troubleshooting guides and common scenario playbooks that help users overcome typical obstacles
Develop role-specific learning paths for different user personas (experimental biologists, computational scientists, program leaders)
Develop certification or milestone programs that recognize user proficiency and encourage ongoing skill development
Program Delivery and Community Building
Lead live training sessions, workshops, and webinars for customers and internal teams
Foster a community of practice by creating forums for users to share learnings and best practices
Gather feedback from learners to continuously improve educational content and delivery methods
Your Qualifications
Must-haves
MSc or PhD in Structural / Molecular Biology, Bioinformatics or a related field
3–5+ years of experience creating educational content or technical training in life sciences, biotech, or scientific software
Basic proficiency in data analysis using Python and relevant data science libraries (pandas, scikit, scipy, matplotlib, etc.)
Familiarity with AI-guided protein design methods such as Protein Language Models, Structure-based models, Inverse folding, etc. Hands-on experience using these methods is a plus. - Proven ability to translate complex technical concepts into clear, engaging learning experiences for diverse audiences
Experience designing curricula or training programs from the ground up, with measurable learning outcomes
Excellent visual and written communication skills, with portfolio examples of tutorials, guides, videos, or workshop materials you've created
Comfort with learning management systems, video production tools, and modern educational technology
Self-directed work style with strong organizational skills and ability to manage multiple content projects simultaneously
Nice-to-haves
Prior teaching or scientific training experience in academic or industry settings
Background in instructional design principles and adult learning theory
Experience building developer education programs, learning labs, or technical academies
Familiarity with protein design, directed evolution, or AI/ML applications in drug discovery
Experience producing professional video content and screencasts
Knowledge of modern e-learning platforms and content management systems
Our commitment to inclusive hiring
Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply. AI disclosure
Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team. A notice about recruitment scams
Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.