Scientific Solutions Consultant

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the main scientific and technical solution expert, showcasing Cradle’s AI-driven protein discovery and optimization platform along with its services.

• Collaborate with Account Executives and Go-To-Market teams throughout the purchasing process.

• Keep up-to-date with Cradle’s technical capabilities and supporting evidence.

• Provide insights to product and technical teams to enhance demonstrations and offerings.

• Oversee and manage the scientific and technical exploration of customers’ landscapes, projects, capabilities, and challenges.

• Comprehend customers’ protein-engineering workflows and research goals.

• Create presentations and conduct demonstrations that address customer challenges while distinguishing Cradle from its competitors.

• Handle customer inquiries and objections, establishing credibility and trust in the process.

• Participate in relevant industry conferences, representing Cradle to scientific and technical audiences.

• Convey field insights to product teams and impact the product roadmap.

• Develop solutions, materials, and content for both customers and internal teams.

• Mentor and collaborate with fellow Scientific Solutions Consultants.

• Uphold and represent Cradle’s mission and values.

⛳️ Requirements

• A scientific academic qualification (MS, PhD) in biology or biochemistry, such as structural or molecular biology, bioinformatics, pharmaceutical sciences, biochemical engineering, or a related discipline.

• At least 2 years of professional experience following graduation.

• Preferred experience in a solution consultant-type role and/or related customer-facing positions.

• Familiarity with scientific/informatics software such as LIMS or ELN is advantageous.

• Experience in demonstrating technical solutions to research and computational scientists is beneficial.

• Capability to quickly grasp wet-lab experimental workflows pertinent to enzyme and therapeutic protein design.

• Practical experience in designing and executing a variety of high-throughput wet-lab experimental workflows is a plus.

• Experience with computational protein design, potentially utilizing AI/ML techniques, is helpful.

• Strong foundation in life sciences research and development.

• Understanding of the experiences and tools of research scientists and computational biologists.

• Exceptional communication skills.

• Willingness to travel 20–40%, including internationally.

• A valid passport is required.

🏝️ Benefits

• Highly competitive salary.

• Generous equity stake in the company.

• Comprehensive benefits package covering health and wellbeing, financial support, training, and opportunities for career advancement.

• Training and career development opportunities.