Biosecure ID
Systems Engineer / Molecular Biologist — Generalist, Customer-Facing
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Who we're looking for
A recent or soon-to-be MSc, MTech, or PhD graduate who'd rather bring a working idea to the table than wait for the "correct" one. You've spent time at the bench; you're comfortable with instrumentation, code, or spreadsheets; and you like figuring things out alongside other people rather than in isolation. You're not looking for a rulebook; you're looking for a hard problem and a team to solve it with. You want your work to reach real forensic casework, real patients, real customers, not just a paper. This is not a narrow role. You'll move between the bench, the systems that support it, and the people who depend on it working.
What you'll do
- Develop and validate hardware and software to run low-cost assays and lab workflows — spanning applications from forensic DNA casework to diagnostic tests for cancer and rare diseases — designed to work reliably outside well-resourced labs.
- Build and troubleshoot the systems around the science: instrumentation, robotics, automation, data pipelines, and the practical engineering that makes a bench protocol into a repeatable product.
- Design, build, and maintain robotic and automated systems — liquid handlers, custom rigs, sensor-driven workflows — including autonomous systems that can sense, decide, and act with minimal human intervention.
- Work directly with customers and partners to understand their constraints, translate their problems into technical requirements, and support them through deployment and troubleshooting.
- Operate with limited resources by design — you'll be expected to prototype with what's available, iterate fast, and find the cheaper, simpler path before reaching for the expensive one.
- Take ownership across the full arc of a problem: from early bench experiments through to a working solution in a customer's hands.
- Document rigorously enough that what you build can be trusted, repeated, and handed off — this is diagnostic and forensic work, where "it worked for me" isn't good enough.
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Nice to have
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- Experience with diagnostic assay development, forensic genomics, or clinical/CLIA-adjacent workflows.
- Experience building autonomous or semi-autonomous systems — closed-loop control, sensor fusion, or decision-making pipelines.
- Contributions to open-source projects (lab automation, robotics, or bioinformatics tooling especially relevant).
- Startup or small-team experience where you had to do more than your job title suggested.
Why this role?
You'll work on problems that go straight from the bench to a person who needed the answer — a forensic case, a cancer diagnosis, a rare disease that finally gets identified. Small team, real stakes, and the freedom to build the solution your way when the standard playbook doesn't fit the budget.
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