Software Engineer, Applications (Scientific Development Solutions) (High Seniority)

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. We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW The Scientific Development Solutions (SDS) group — comprised of our Study Lifecycle and Process Execution teams — builds the products biologists rely on to run complex lab operations at scale: developing, qualifying, and executing rigorous SOPs; capturing and analyzing complex time-series data; and orchestrating the biological and IT-driven workflows behind sample management, analytical chemistry, and bioprocess development. SDS owns Benchling's Studies, Workflows, and Procedures products — the core of our "Benchling for Development" solution — and our work is frequently sought out by the enterprise customers with the most demanding GLP/GMP regulatory needs. Successful deployments measurably accelera