Leader, Product Analytics & Data Science

We are rebuilding biotech for the AI era.

When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.

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. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.

ROLE OVERVIEW

We're looking for a player-coach to lead our small, but impactful Product Analytics & Data Science team. 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.

You'll oversee a small team of experienced data engineers and help hire a new data analyst, while personally contributing to high-leverage data projects. You'll partner closely with Product, Customer Experience, Field, and Business Systems teams to connect product usage with customer value - helping Benchling serve both our internal stakeholders and external users more effectively.

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.

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.

QUALIFICATIONS

• 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.

HOW WE WORK

We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).

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Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.

We are an equal opportunity employer. That means we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.