About the Company:
At Nym, we’re passionate about simplifying healthcare by automating the accurate interpretation of clinical language.
Our interdisciplinary team has developed innovative technology that can understand clinical language and provides an entirely new way of analyzing and decoding medical records into clear, concise, and actionable information. This ensures clinical and administrative teams can spend more time on patient care.
At Nym, the future is bright. Our engine currently processes over five million charts annually in more than 150 emergency department and urgent care settings across the US. We are backed by top-tier VCs and are growing, with offices in NYC and Tel Aviv.
Nym is seeking an experienced and visionary Head of Research to lead, shape, and advance the future of AI innovation across the organization. In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.
You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.
Responsibilities:
This is an opportunity to shape the future of AI-driven healthcare solutions in a dynamic and fast-paced environment. If you're a leader with a strong technical background in NLP and Deep Learning, a creative approach to problem-solving, and proven experience managing and motivating teams, we’d love to hear from you!

Nym transforms revenue cycle management by fully automating the medical coding process. Our autonomous medical coding engine deciphers clinical language in patient charts and accurately assigns medical charge codes in seconds and with zero human intervention.
By automating medical coding, Nym empowers health systems, hospitals, and physician groups to improve operational efficiency, optimize financial performance, and reduce administrative burdens, ultimately enabling providers to focus more time on patient care.