BillionToOne (YC S17) is ranked at the top 5% of Y Combinator companies with $300M+ in funding from top VC firms. We have developed a DNA molecular counter that increases cfDNA diagnostic resolution by over 1,000x. Our first product, UNITY, is the first and only non-invasive prenatal test that can directly screen an unborn baby and assess its risk for: common and severe recessive gene disorders; chromosomal abnormalities; fetal sex; and fetal antigens from a single tube of blood from the pregnant mother. This greatly improves the quality of care and is on its path to becoming the next standard-of-care.
Our software stack includes Python/Django, AWS, React/Typescript, Terraform, and many other standard tools. We're a small, but nimble software team that prioritizes rapid iteration and continuous feedback to evolve our product. As a biotech company, we inherently need to always work cross functionally. If you enjoy this style of work, please reach out!
We're hiring software engineers, a director of bioinformatics, and many other roles. You can email me directly at kwu@billiontoone.com with your resume or apply through the links below.
- Senior Software Engineer, Digital Experiences: https://boards.greenhouse.io/billiontoone/jobs/4365485005
- Senior Software Engineer, Platform: https://boards.greenhouse.io/billiontoone/jobs/4305991005
- Senior/Staff Software Engineer, Oncology (Full-Stack): https://boards.greenhouse.io/billiontoone/jobs/4304858005
- Director of Bioinformatics, Prenatal: https://boards.greenhouse.io/billiontoone/jobs/4321605005
You can view all open roles on our careers page: https://billiontoone.com/careers/open-positions/.
Stanford Research Computing (https://srcc.stanford.edu) is a collaboration between University IT and the Vice Provost and Dean of Research. We operate HPC environments for researchers, we do one-time consultations on projects (from software and pipelines, to data management, to physical building design and fit-out), and we provide contract support for individual Labs, Departments, and Schools.
We have four open positions:
• GPU Cluster System Admin: We're looking to get an NVIDIA DGX SuperPOD for researchers to use. Besides running the system, you'll help users scope their jobs to maximize utilization. You should already know CUDA; integration with HPC; and ideally one or more of AI/ML software and frameworks, deep learning, and LLM training. More info: http://phxc1b.rfer.us/STANFORDOVPPFC
• Cloud Engineer: Most of our researchers use Google Cloud, but it can be difficult to manage, from admin and cost standpoints. Your job would be to help researchers deal with it all! You should already know Linux sysadmin stuff, as well as methods for doing compute in the cloud (from Compute Engine to k8s). GCP-wise, knowing BigQuery would be helpful. More info: http://phxc1b.rfer.us/STANFORD9AaPFE
• Data Center Engineer: You'll be based full-time at our primary research data center in Menlo Park (on the SLAC campus). This position includes everything from racking and cabling to maintaining and troubleshooting power distribution (415v Starline bus), UPS (spinning-mass), generators, VFDs, air handlers, chillers, PLCs, and the like. More info: http://phxc1b.rfer.us/STANFORD28DPFA
• Data Center Director: Our current Data Center Manager is getting ready to retire! We want to have a replacement hired in advance of that, to ensure a smooth transition. You'll manage two Data Center Engineers, work with Stanford Facilities folks, and possibly oversee construction of a future research data center. More info: http://phxc1b.rfer.us/STANFORDca_PFB
The data center positions are onsite; the others are hybrid. If you don't already live in the Bay Area, we provide a relocation incentive. Depending on where you live, we provide free transit passes. Unfortunately, if you don't commute, you will have to pay for parking for the days you're on-site (except at the data center). There is some on-call around the holidays. We get a 403(b) match, good healthcare, and 30+ days off per year (holidays + vacation). All Benefits are all publicly documented at https://cardinalatwork.stanford.edu/benefits-rewards.
If you have questions, feel free to reply here or email me (the info is in my profile)!