Medical Developer

At Nym, we’re passionate about simplifying healthcare by automating the accurate interpretation of clinical language.

Our interdisciplinary team has developed innovative technology that understands clinical language, offering a groundbreaking way to analyze and decode medical records into clear, concise, and actionable information. This ensures that clinical and administrative teams can dedicate more time to patient care.

At Nym, the future is bright. Our engine currently processes over six million charts annually across more than 300 emergency departments and urgent care settings in the U.S. Backed by top-tier VCs, we are growing rapidly, with offices in NYC and Tel Aviv.

Join us!

Role and Responsibilities:

Nym is looking for a Medical Developer to join our growing R&D group, reporting to our Chief Architect. The ideal candidate will play a key role in developing new sub-engines for emerging projects and clients at Nym. This role involves maintaining and improving product quality, upholding high coding standards, and driving customer satisfaction.

Success in this role requires strong project management experience, analytical and problem-solving skills, cross-team collaboration, and a flexible, solution-oriented mindset in a dynamic environment.

As a Medical Developer, you will:

• Analyze and understand clients’ business objectives and needs, designing Nym’s Clinical Language Understanding engine accordingly.
• Lead new specialty projects at Nym, guiding technical development, identifying and recommending improvements, and proactively resolving alerts and escalated issues.
• Collaborate with multidisciplinary teams, including customer success, R&D (software engineers, linguists, medical doctors, product managers, data analysts, and medical coders).
  
  

• MD degree.
• Proven experience in a clinical environment or healthcare facility, with familiarity in medical charts and terminology, or experience in revenue cycle management / U.S. EHR systems.
• Strong project management experience.
• Demonstrated analytical skills, including the ability to leverage data-driven insights to solve complex problems with attention to detail.
• Proficiency in SQL or Pandas (required).
• Familiarity with Python (advantageous).
• Fluent in English (both written and spoken), including medical terminology.