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. ## RESPONSIBILITIES
Design, develop, and deliver features and systems that advance Benchling's product and business goals across areas such as audit coverage, export systems, document lifecycle management, and regulatory compliance workflows
Own end-to-end delivery of significant projects — from planning and development through deployment, maintenance, and monitoring — across multi-sprint, multi-person initiatives
Design technical solutions for open-ended problems, working independently on smaller projects and collaborating with senior engineers on larger efforts
Write well-documented, well-tested code that follows company best practices, and execute refactors that improve the codebase
Participate actively in code reviews, providing thoughtful and actionable feedback that raises the quality of team output
Partner with product management, design, and cross-functional stakeholders to translate customer needs into technical solutions, clarifying requirements and surfacing tradeoffs
Explore opportunities to leverage AI and LLMs to improve compliance workflows, audit reporting, and regulatory navigation for our customers
Contribute to team discussions and process improvements, and help resolve communication gaps within and across teams
Collaborate with other teams to ensure our horizontal platform systems integrate well and support product development across the organization
QUALIFICATIONS
5+ years of experience as a software engineer, with demonstrated growth in scope and independence
Experience delivering multi-sprint projects end-to-end, including planning, task breakdown, and tracking
Strong experience building backend systems and APIs for cloud-based web applications
Familiarity with frontend development and willingness to build full-stack solutions when needed
Ability to design technical solutions that account for edge cases, performance, scalability, and maintainability
Comfort working in ambiguous problem spaces where methods and outcomes involve tradeoffs
Clear written and verbal communication skills, with the ability to synthesize project status and share it with stakeholders
A collaborative mindset — willingness to mentor junior engineers and help teammates be more productive
Interest in learning about life sciences. Prior biotech knowledge not required, but enthusiasm to learn is essential
Nice-to-Have Qualifications
Experience building software for highly regulated industries (pharmaceuticals, medical devices, aerospace, financial services)
Familiarity with compliance requirements such as FDA 21 CFR Part 11, GxP, or similar regulatory frameworks
Exposure to audit logging systems, audit trails, or regulatory reporting capabilities
Interest in AI/LLM applications, particularly in domains requiring high accuracy and reliability
Experience with document management systems, version control, or content lifecycle management
Familiarity with data export systems or large-scale data processing
Experience with Python and PostgreSQL
Experience with React or similar JavaScript-based frontend frameworks
Previous work in enterprise B2B SaaS
Education or work experience in life sciences, biotechnology, or pharmaceutical sectors
