We are a technology company operating at the intersection of AI, Physics and Biology to automate the physical exam from data collection to triage and routing to make preventive personalized healthcare available to everyone.
Our small but highly skilled team is composed of more than 35 PhDs, MScs, and MDs from world-class educational institutions and companies.
Q Bio’s HQ is in sunny San Carlos, CA. You’ll find our people jogging the Stanford Dish Trail during the week, doing trivia night at a nearby brewery after work, or gathering with our families to celebrate a success or holidays over good food (we love good food!)
We commute from all over the Bay Area; by bike, train, car, and roller skate. The coffee is always on, and the basketball hoop and table tennis are all yours (good for thinking through tougher problems).
Our people hail from all over the world, and speak over 15 different languages in addition to English. Our broader team comes from a dizzying array of home countries and cultural backgrounds.
Join our multidisciplinary team of determined, passionate people.
Machine Learning Engineer / Scientist
United States (Remote / Hybrid)
Engineering - R&D
Synthesizing your digital twin and generating health forecasts.
Gemini can integrate any information about the human body including lab tests, genetics, anatomical data, medical history, wearable and lifestyle data to create your Digital Twin and comprehensively map your health over time. Gemini will ultimately be able to use your Digital Twin to generate personalized health forecasts and recommendations for you and your care takers.
The fastest, most accessible full body scanner ever.
Mark I will be able to autonomously scan your whole body for existential risks in 10 minutes, generating extensive quantitative anatomical data with no radiation, breath holds, or claustrophobia. The Mark I will deliver the speed, reproducibility, safety and comfort needed for whole body MRI to power Digital Twins and Large Biological Models at population scale.
The foundational AI model for whole body radiology.
The world doesn’t have enough radiologists to review population scale whole body MRIs. We need a foundational AI model to automatically analyze scans, derive quantitative data and evaluate risks. The AFM will enable the automated triage of the subset of scans that require human review to the appropriate radiologist to optimally leverage their time.