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 Benchling is seeking a Software Engineer to join our Study Lifecycle team, one of two teams that is focused on making software that can be used in more regulated environments. Given our mission to accelerate the pace of life sciences research, we have to make scientific experimentation easier, more reproducible, and efficient via Benchling! Our team is foundational to Benchling’s success, given the critical role of designing and learning from experiments in the scientific process. We provide ways to aggregate data within Benchling and process them for use in analyses. As a member of this team, you'll play a key role in building intuitive interfaces, developing robust backend services, and ensuring our platform scales to meet the needs of researchers around the world. You'll collaborate closely with product managers, designers, and other engineers to deliver a product that improves scientific workflows and empower groundbreaking discoveries. In this role, you’ll get to work on a few critical areas of the Benchling product: The Study platform, which allows scientists to organize related experiments for a drug candidate or research campaign An Analysis integration, where Benchling objects are transformed into datasets ready for data scientists with pre-built charts Cross-cutting Sample Testing functionality, that supports tracking of biologically relevant samples that need to be tested, including patient samples collected for clinical trials
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees