Biotechnology is rewriting life as we know it, but moving at the new speed of science requires better technology. Benchling's R&D Cloud aims to power the development of breakthrough products and accelerate time to milestone and market. This role is to lead the Product Analytics & Data Science team to connect product usage with customer value, helping Benchling serve both internal stakeholders and external users more effectively.
Requirements
- 5+ years of relevant experience in data analytics or data science, including fluency with tools like SQL, Python or R, and cloud data environments.
- 3+ years of experience managing individual contributors.
- You’ve led small teams and are comfortable balancing hands-on work with people management.
- You excel at stakeholder management, particularly in navigating competing priorities and advocating for data-informed work.
- You’re comfortable working within constraints and know how to drive meaningful progress in low-investment environments.
- You enjoy translating complex data into actionable insights and take pride in making systems and people work better together.
- Bonus: Experience working in or with life sciences R&D and/or enterprise SaaS organizations.
Responsibilities
- Lead and support a small, dedicated team of data engineers and analysts through mentorship, technical guidance, and priority setting.
- Roll up your sleeves to personally own and execute on key projects, especially those that cross organizational boundaries (e.g. customer success, field operations, and product).
- Define and maintain a roadmap of high-impact data work that supports both product insights and internal business operations.
- Serve as the connective tissue between product data and customer-facing teams by helping integrate insights across systems and functions.
- Collaborate closely with stakeholders to scope, prioritize, and execute analytical work in service of concrete business and product decisions.
- Champion data quality, documentation, and rigor across everything your team touches.
Other
- This role blends hands-on analytical work with people leadership, stakeholder management, and strategic prioritization.
- The ideal candidate will enjoy balancing deep dives into data with guiding and mentoring a small team of data professionals.
- This role is suited to someone who enjoys operational stability, is energized by cross-functional collaboration, and can help advocate for data-driven work even when headcount and resources are limited but where sustained, meaningful impact is both possible and expected.
- Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).
