Benchling
Solution Consultant - R&D
Zurich, Switzerland, Remote. Posted a month ago
The role
Solution Consultants act as primary solution leads for large customers and prospects. They partner with internal and external teams to develop and demonstrate optimal solutions within complex enterprise IT environments.
What you will do
- Partner with account executives and leadership to create account and deal strategies.
- Manage organized discoveries to uncover customer needs and requirements.
- Craft solutions based on Benchling capabilities and industry best practices.
- Present and demonstrate the solution to prospects and customers.
- Manage customer questions and objections.
- Engage with product management to provide insight into prospect and customer needs.
- Influence the roadmap for market success.
- Create reusable solutions, content, and trainings.
- Mentor and partner with other SCs.
Required qualifications
- Master’s in Biology, Molecular Biology, Genetics, Biotechnology, Bioengineering, Biochemistry, Chemistry or similar Life Science field
- Minimum of 4 years of work experience
- Demonstrated capacity to effectively model scientific data and craft solutions
- Understand research technology generally adopted by biopharma companies
- Have an agile and adaptable mentality
- Ability to establish as a trusted advisor for scientists and successfully pitch to scientific buyers
- Must be fluent in English
- Willingness to travel to customer sites 25-30%
Nice to have
- Experience with scientific/informatics software such as LIMS, ELN, or others
- Familiarity with antibody engineering software
- Experience in demonstrating scientific software in a pre-sales setting to top 20 biotech and pharma companies
- Prior experience in demonstrating and supporting research instruments, reagents or software
- Fluency in German or French
Before you apply
- You'll complete a brief AI-focused exercise or discussion as part of the interview process
About the company
Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows.