We've developed a DNA molecular counter with 1000x better precision. Our DNA technology underpins the first and only non-invasive prenatal test for cystic fibrosis, sickle cell disease, and other severe inherited disorders.
We are growing sales by 25% every month. Our product improves pregnant women's lives by providing a less invasive option compared to amniocentesis (a surgical procedure with significant risk of miscarriage).
We've solved a really hard technical problem with our DNA molecular technology. We have filed 5 foundational patents to protect the technology. Our first paper was published in Nature Scientific Reports. Our team has undergrad and doctoral degrees from Princeton, Stanford, MIT, and Rice University.
We raised a $15 million Series A financing in 2019, and we were in Y Combinator (S17).
Our engineering team works closely with clinical operations, research, and product teams to solve manufacturing, process engineering, and automation problems. We adhere to the principle that you should
build one to throw it away. That is to say, the first prototype is a fast and cheap experiment to gather requirements and effectively communicate the problem to be solved and the proposed solution. To support this, we use engineering processes that maximize iteration speed, such as continuous integration, code review via github PR, easy and cheap staging environments, continuous delivery, and platform-as-a-service infrastructure like Heroku.
Healthcare data modeling: $471B (a full 2% of the entire US economy) is spent on tasks related to medical insurance paperwork. We need automated systems to efficiently process this paperwork.
Human factors engineering: Design a manufacturing system that judiciously combines human intervention and robotic automation to maximize throughput.
High throughput DNA sequencing data engineering: We generate large amounts of scientific data that needs to be ETL'd through proprietary bioinformatic machine learning pipelines.
You would build the website patients and their doctors use to find out about their test results completely from scratch.
You would build the internal API used to manage and provide visibility for data throughout the entire company
You would use robotics, OCR, image processing, and UX to automate repetitive wet-lab protocols.
Collaborative. We are a highly disciplinary team comprised of engineers, PhD scientists, lab scientists, product, marketing, and commercial. Everyone participates in discussions and learns from each other.
Kind. No brilliant jerks are allowed.
High Impact. We empower people to make decisions, use high-leverage tools, and solve big problems.
Patient focused. Every decision is viewed through the lens,
What is best for the patient?
Company provided lunch Monday, Wednesday, and Friday.
Gym is on-site and it even has an auto-belay rock climbing wall.
We take the entire company on a weekend long retreat every year. In the past, we've gone to Lake Tahoe, Point Reyes, and Stinson Beach.
We provide full health, dental, and vision insurance.
Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.