Benchling is seeking to unlock the power of biotechnology by providing modern software to modern science, and the Solutions Consultant role is instrumental in partnering with customers to understand their unique IT infrastructure, data workflows, and analytical needs to design impactful and practical solutions.
Requirements
- 5+ years of direct experience working with complex software systems, with a strong emphasis on cloud-based, enterprise-scale IT infrastructure, data management, and data analysis within the life sciences R&D space
- Experience in developing or working with APIs in Python or R
- Strong emphasis on cloud-based, enterprise-scale IT infrastructure, data management, and data analysis within the life sciences R&D space
- Experience with cloud-based integrations between Benchling and other enterprise IT systems (e.g., LIMS, ELN, ERP)
- Experience with data pipelines to facilitate data sharing, analysis, and reporting for data science teams
- Experience with AI/ML workflows
- Experience with IT and data science best practices
Responsibilities
- Identify IT & Data Science Pain Points and Define Key Success Metrics: Engage deeply with IT leaders, data scientists, and bioinformatics specialists at biotechnology companies to understand their critical pain points related to software systems, data management, and analysis, and collaboratively define key metrics to measure the success of Benchling in addressing those challenges
- Design and Showcase IT Integrations and Data Pipelines: Architect and demonstrate cloud-based integrations between Benchling and other enterprise IT systems (e.g., LIMS, ELN, ERP) and develop data pipelines to facilitate data sharing, analysis, and reporting for data science teams
- Collaborate on Data Science Focused Features: Partner closely with engineers and product managers to define, prioritize, and execute on new Benchling features and integrations that specifically address the requirements of data scientists and bioinformaticians
- Enable Complex Enterprise Deployments with IT & Data Science Focus: Collaborate with Professional Services and Customer Success teams to ensure successful and scalable rollouts of Benchling at large enterprise customers, with a specific focus on integrating with their existing IT infrastructure and enabling data science (AI/ML) workflows
- Develop Targeted Messaging for IT & Data Science Audiences: Partner with Sales and Marketing to develop compelling pitches and materials that highlight Benchling's value proposition for IT departments and Data Science teams within the evolving biotechnology landscape
- Contribute to IT & Data Science Best Practices and Product Development: Participate in and contribute to initiatives focused on developing best practices for integrating Benchling within complex IT environments and shaping the product roadmap to better serve the needs of IT and data science users
- Engage with Solutions Consulting Peers: Work closely with R&D and Business Value solutions consultants to ensure cohesive and comprehensive solutions are presented to customers, addressing both scientific and strategic business needs
Other
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Bioinformatics, or a related technical field (advanced degree preferred)
- Ability to travel approximately 20%
- Excellent at listening to diverse stakeholders (including IT professionals, data scientists, and scientists) and expressing technical ideas clearly
- Great at understanding the needs and challenges of both technical and scientific users, and quickly grasping complex scientific and technical concepts
- Curious, creative, and tenacious, with a passion for leveraging technology to solve complex problems in life sciences
