San Francisco, CA
Our mission is to change the way cancer is treated, which starts with putting patients first. We’ve developed a personalized treatment service for cancer patients that prioritizes combinations of FDA-approved treatments that can be immediately prescribed by a doctor.
By focusing on individual patients and existing treatments, we’re discovering novel uses of drugs and defining mechanisms underlying development of cancer progression and drug resistance. Using modern data science and robotics, we’re building a scalable, iterative model that ultimately will turn treatment selection into a data problem.
We’re backed by some of Silicon Valley’s most respected investors, including Y Combinator, Founders Fund, First Round Capital, as well as prominent angels and seed-stage funds, and Accelerate Brain Cancer Cure, a venture philanthropy firm founded by Steve Case. Our lab and offices are centrally located in San Francisco’s SoMa district.
Bioengineers are hybrids that help glue multiple disciplines together. You're a mid-level or senior engineer that lives at the intersection of software, hardware, and biology, and can use your knowledge across multiple fields to synthesize a solution to a problem. The day to day work can vary wildly: from writing quick one-off scripts that help analyze data to creating pull requests for our internal Rails app; from designing and testing a 3D printed component to controlling our robotic workcell; from pitching in with routine lab work to designing new assays.
- In general: identifying areas in our lab processes that can be automated or optimized, and figuring out a way to automate them with software and/or robots
- Writing scripts to solve a variety of problems: reformatting CSVs, automating computer tasks that our scientists do in the lab, getting quirky 3rd party software to communicate with our APIs, etc.
- Occasionally contributing to our internal webapps
- Assisting with robotic workcell operation, developing new workcell processes
- Assay optimization (and sometimes assay design)
- Intermediate to advanced programming experience in Python and/or Ruby. Ideally, your programming skills are solid enough that you could get hired as a junior software engineer or a software engineering intern based solely on your software ability.
- Preferably, experience working with APIs and/or a web framework such as Flask, Django, or Rails.
- Some familiarity with Git.
- Some familiarity with Unix/Linux commands.
- Extra bonus if you know some frontend such as Angular or React.
- 3D CAD design with software such as SolidWorks, Pro/ENGINEER, or OnShape, and a proven track record of designing and prototyping parts.
- Lab automation experience, including automation scheduling software, liquid handling robots, and a general understanding of automation-friendly lab equipment.
- Wet lab experience, e.g. sterile technique for handling mammalian cells. You can enter a laminar flow hood without contaminating everything.
- Basic solid mechanics and/or fluid mechanics knowledge.
- If you don't meet some of the non-software qualifications, no problem! What really matters is that you’re a motivated, remarkably fast learner.