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 accelerate how quickly our customers bring therapies to market. As a Software Engineer at the High Seniority level, you will be the senior engineering authority partnering with the Study Lifecycle and Process Execution teams — the person who architects the hardest systems, sets the technical bar, and multiplies the output of every engineer around you. You'll design and build full-stack across studies, workflows, procedures, and bioprocess/bioanalytical use cases, translating ambiguous scientific and regulatory requirements into durable systems. You will also serve as an IC leader across the broader Applications division, helping set engineering direction that reaches well beyond any single team. This role reports to the Head of Engineering for Applications and works day-to-day as the senior IC anchor for the Study Lifecycle and Process Execution teams. RESPONSIBILITIES - Serve as the senior technical authority for the Study Lifecycle and Process Execution teams, driving the design and development of systems that advance Benchling's product and business goals across studies, workflows, procedures, and bioprocess/bioanalytical workflows. - Independently architect and implement solutions to complex, open-ended problems — from system architecture to backend models and APIs to rich frontend UI — for scientific workflows used in regulated (GLP/GMP) environments. - Lead large, multi-quarter initiatives: break down ambiguous scientific and regulatory requirements into concrete technical plans and iterative delivery milestones. - Use technical decision-making as a tool of engineering strategy — knowing when to leverage existing platform capabilities, when to take on technical debt deliberately, and when to preserve optionality for the long term. - Act as a force multiplier across the Applications division: help set engineering direction, raise standards for quality and architecture, and influence technical choices beyond your immediate teams. - Provide technical leadership through code review, architectural guidance, and mentorship of engineers across all experience levels. - Partner closely with product management, design, and cross-functional stakeholders to translate customer and scientific needs into technical solutions. - Explore and evaluate opportunities to leverage AI and LLMs to make lab operations, SOP execution, and time-series analysis faster and more reliable for scientists. - Own end-to-end delivery of critical features — from planning and development through deployment, maintenance, and monitoring. - Help build and scale the team by improving our tooling, engineering processes, interviewing, hiring, and onboarding. QUALIFICATIONS - 8+ years of professional software engineering experience, with a demonstrated progression of increasing scope and impact. - Experience as a technical lead on significant projects involving multiple engineers across multiple quarters. - Strong experience building backend systems and APIs for cloud-based web applications, plus the ability to build full-stack when needed. Our stack is a comprehensive React frontend and a Python backend on a predominantly relational data model in Postgres; direct experience is appreciated but not required if you can pick it up quickly. - Proven ability to design scalable, robust architectures that align with business requirements and long-term maintainability. - Track record of independently scoping and driving initiative-level work whose impact spans multiple teams and shapes an entire product area or division. - Excellent written and verbal communication skills — able to produce clear technical designs and use influence rooted in technical expertise to align other engineers on an implementation strategy. - Demonstrated ability to mentor and develop other engineers, raising the team's bar in areas such as testing, performance, and maintainability. - Interest in learning about life sciences. Prior biotech knowledg