Scientific Solutions Consultant

As a Scientific Solution Consultant, you are the primary scientific/technical solution lead who presents the capabilities, value and benefit of Cradle’s platform and services to key scientists, experimental and computational biologists, IT, and executives at prospects and customers. You partner closely with Account Executives and other teammates on the Go-To-Market team throughout the entire buying journey. You stay up-to-date on Cradle's latest technical capabilities and proof points, and provide feedback to the product and technical teams on ways to improve Cradle's demo and offering.

THIS IS CRADLE Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia. We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues. We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities. THE ROLE As a Scientific Solution Consultant, you are the primary scientific/technical solution lead who presents the capabilities, value and benefit of Cradle’s platform and services to key scientists, experimental and computational biologists, IT, and executives at prospects and customers. You partner closely with Account Executives and other teammates on the Go-To-Market team throughout the entire buying journey. You stay up-to-date on Cradle's latest technical capabilities and proof points, and provide feedback to the product and technical teams on ways to improve Cradle's demo and offering. YOUR RESPONSIBILITIES - You will own and manage scientific and technical ‘discovery’ to understand the customer’s current landscape, uncover and identify customer projects, capabilities and challenges.  - You will listen intently to customers’ protein engineering workflows and ask the right questions to understand how Cradle can best support their research objectives. - You will develop impactful presentations and deliver amazing demonstrations of Cradle’s offerings that address customer’s challenges, and differentiate Cradle from the competition. - You will manage customer questions and objections professionally and with insight and establish both credibility and trust in you and in Cradle with the customer. - You will attend industry relevant conferences and represent cradle to scientific and technical audiences. - You will bring your insights from the field back to our product teams and inform and influence our product roadmap for market success. - Provide internal leadership by developing best-in-class solutions, assets and content to help our customers, help your team and enable others to learn from your experience and expertise. - Mentor and partner with other SSCs to build their success and raise the bar. - Embrace and represent Cradle’s mission and values. YOUR QUALIFICATIONS - Scientific academic degree (MS, PhD) in biology or biochemistry. Eg. structural or molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering, or other.  - Minimum 2 years of professional experience (post-degree), preferably in a solution consultant type role, and/or in related customer facing roles. - Experience with scientific/informatics software (LIMS, ELN, etc.) or other technical solutions sold/delivered into research and discovery functions is helpful. Especially if you demonstrated such solutions to research and computational scientists. - Ability to quickly understand various wet lab experimental workflows relevant to design of enzymes and therapeutic proteins is a must. Hands-on experience with designing and executing a variety of (high throughput) wet lab experimental workflows is a plus. - Experience with computational protein design (either as a grad student or professional), potentially involving use of AI/ML techniques, is helpful.  - Excitement to bring your strong foundation in life sciences R&D, familiarity with research scientists' and computational biologists’ experience and tools they use, and excellent communication skills to translate Cradle's platform capabilities into value gains for scientists and research organizations.  - Able and willing to travel 20-40%. Includes international travel (passport required). - We offer our employees a competitive salary, a meaningful equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities. 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 http://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.