Principal Machine Learning Research Scientist

About Rad AI

We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!

Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%. 

Why Join Us:
We are looking for a Principal Research Scientist with expertise in Machine Learning and Natural Language Processing (NLP) to join our exceptional ML team and help drive innovation in our rapidly growing company. The role reports directly to the VP of Engineering.

What You'll Be Doing:

• Technical Leadership: Define best research practices and provide guidance in an applied environment to ensure cutting-edge solutions.

• Research Application in Clinical Context: We're seeking someone who can apply their research expertise to tackle complex clinical problems, leading to innovative advancements in the healthcare field.

• Collaborative Solution Development: Actively engage with technical peers and clinical experts to create and refine impactful healthcare solutions.

• Interdisciplinary Solution Architecture: Design and implement solutions that integrate multiple disciplines, determining optimal machine learning integration points and evaluating competing methodologies.

• Research Integration & Experimentation: Stay updated on the latest machine learning advancements by reviewing academic papers, designing experiments, and incorporating state-of-the-art research into our platform.

• Mentorship & Collaboration: Foster growth within our dynamic Machine Learning Team by mentoring colleagues and collaborating with our in-house team of renowned clinicians.
  

Who We're Looking For:

• PhD or Master's degree in Computer Science or related field, or equivalent experience

• At least 10 years of post-educational professional experience

• Proven track record of leading large technical organizations and acting as a technical lead for multiple teams

• Deep technical expertise …