Applied Science Manager, Healthcare AI

Key job responsibilities

• Building and mentoring teams of Applied Scientists and ML Engineers
• Setting technical direction and research strategy aligned with business goals
• Driving innovation in medical administration reasoning systems, AI agent design, and medical coding
• Collaborating with cross-functional teams to translate research into production
• Managing project portfolios and resource allocation

A day in the life

Inclusive Team Culture
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.

About the team

Our team builds on our existing successful healthcare business, which serves major providers and payers in the US. You'll be instrumental in creating solutions that address complex challenges in areas such as clinical documentation, health data analytics, and accurate billing, ultimately contributing to better health outcomes for individuals and populations.

Basic Qualifications

• 2+ years of scientists or machine learning engineers management experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience
• Experience in applied research
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience building machine learning models or developing algorithms for business application
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
• Experience building speech recognition and natural language processing systems (like commercial speech products or government speech projects) as academic or professional work