Intelligent automation in Oncology Research and Care
We are developing the technology to activate electronic health records (EHR) data for clinical trials from the ground up. Billions of dollars are being spent every year to parse the EMR data, interpret it and then enter it into some forms with discrete fields so that researchers can then analyze patient journeys. Triomics is pioneering a platform that will automate this process and we are looking for a natural language processing researcher to build this technology. If you want to solve decades of inefficiencies in clinical research with some of the latest tools at your disposal, this role is cut out for you.
Our mission involves constructing natural language processing solutions from the ground up to tackle the untapped reservoir of patient data currently locked within EMR notes. At Triomics, we're bullish on the potential of large language models as the solution to unlock this goldmine of information.
Our team is led by young, highly optimistic founders who are former MIT and Adobe researchers, bringing a wealth of complementary expertise to the table. Since our founding two years ago, we've secured over $14 million in venture capital from investors like Lightspeed, Nexus, Y Combinator, and General Catalyst.
Key Responsibilities:
We are seeking individuals who possess the following qualities:
Benefits:
Triomics is building the modern technology stack for clinical trial sites and investigators that unifies the workflows of clinical care and clinical research, moving the healthcare industry closer to the vision of Clinical Research as a Care Option. Our platform eliminates the operational inefficiencies in data collection, patient recruitment, and other laborious tasks involved in clinical research, thus enabling the generation of high-quality data and speeding up the time to market.