About Us: The Future of New Treatments
We are building the world’s most advanced patient relationship management platform and AI clinical research agent, Grace, to help patients access new treatments through clinical trials.
Some highlights include:
achieved 824% revenue growth in the last two months
signed on some of the largest customers in the industry
built by a team of ex-Stanford Medicine AI engineers
raised seed round from leading VCs (A*, Pear VC, LifeX) and notable angels in the clinical research space.
About the Role
You will work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale.
A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations.
Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape.
Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition).
Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning.
Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.
Compensation
$135-150k base
substantial equity
health benefits
team dinners and outings (we like to do outdoor activities!)
founder/start-up events & parties