Head of AI

About ClosedLoop
Historically known as healthcare’s data science platform, ClosedLoop has now also begun to pioneer the use of generative AI to deliver personalized support to patients and providers. With a passion for service and a thirst for revolution, we are dedicated to improving health and wellbeing for people everywhere. Through the use of innovative technology and compassionate support at every stage in patients journeys, we offer solutions for patients directly and for members of their care team.

What sets us apart from the competition is our well-established reputation and history of innovation, excellence, and partnership. Competing in and winning the CMS AI Health Outcomes Challenge in April 2021 put us on the map by surpassing 300 other contenders (IBM, Accenture, Deloitte, Merck, Mayo Clinic, etc.) to win the $1.6 million grand prize.

We welcomed 2024 with another milestone … Our third consecutive year being named Best in KLAS for Healthcare AI. One of our industry’s most prestigious honors, KLAS uses direct customer experience and satisfaction data from interviews by KLAS Research to score healthcare technology companies.

Now on the precipice of more exciting accomplishments and discoveries yet to be realized, we will always be guided by a commitment to do good in order to positively impact the future of
Healthcare.

We’re ready to help change the world. Are you? Come join us!

About the Role
Help revolutionize healthcare through AI-powered solutions that enhance both patient care and provider capabilities. As our Head of AI, you'll spearhead our generative AI initiatives and lead a talented team in developing cutting-edge conversational AI products that directly impact healthcare outcomes.

Responsibilities

• Define, shape, and refine our overall AI roadmap in alignment with company objectives and market demands
• Drive the development of state-of-the-art conversational AI systems that serve both patients and healthcare providers, focusing on creating intuitive, empathetic, and clinically relevant interactions
• Enhance our LLM Ops and evaluation systems, which assess the performance and safety of our LLMs for various healthcare tasks, and prioritize patient safety
• Leverage the latest AI research and technology to enhance our LLMs via RAG and fine-tuning, including RLHF (incorporating feedback from both users and clinicians)
• Optimize computational efficiency and cost-effectiveness of LLM deployments
• Recruit, mentor, and develop a team of top-tier AI systems and prompt engineers within a highly competitive market
• Cultivate relationships with key stakeholders, including healthcare executives, clinicians, researchers, and technology partners, to drive innovation and thought leadership

Required Qualifications

• Track record of successfully developing and deploying production-scale AI systems
• Experience with training and deployment frameworks for LLMs in production environments
• Strong commitment to AI safety and ethical principles, particularly in healthcare applications
• Strategic mindset with the ability to translate vision into actionable plans in collaboration with Senior Leadership team members
• 8+ years of Python programming experience focused on AI & ML solutions including bringing these solutions to production
• 5+ years of experience in NLP
• 3+ years in a Sr Manager or Director role
• Comfortable with ambiguity and rapid change, capable of adding structure as needed
• Advanced Degree in Computer Science, Engineering, or related field

Bonus Qualifications

• Experience in the healthcare industry, for instance in clinical NLP
• Full-stack development experience, ideally in healthcare-facing applications, with a focus on React and integrating front-end AI capabilities 
• AWS ML and Life Science Cloud expertise
• Published research or patents in AI/ML, particularly in healthcare applications 

The Impact You'll Make:

• Shape the future of AI-enabled healthcare delivery
• Build technology that meaningfully improves patient outcomes and provider effectiveness
• Lead innovation in responsible AI development for healthcare
• Grow and mentor the next generation of healthcare AI engineers

About the Team
Built and based in Austin, Texas, we are a team of “Closers” who are passionate about changing the future of healthcare. With numerous accolades in our trophy case, we have been repeatedly recognized by the Austin Business Journal as a “Best Places to Work” and Built In as a “Best Startups” for our culture and employee-centric programming. We believe in empowering our teams to do their best work, offer generous employee benefits that include 100% paid medical insurance for employees and their dependents, flexible PTO, paid parental leave, 401k, and ongoing learning and team building opportunities.

We believe that diverse teams are stronger teams and understand that building for the future includes embracing and honoring different backgrounds and experiences. Doing so creates the foundation for our ability to build systems that drive unbiased outcomes.

We strive to create a supportive team high in rigor, with a constant improvement mindset. We believe that teams high in trust innovate faster and better, collaborate more effectively, and
love their work more. If this sounds like a place where you can see yourself building for a future that transforms healthcare, we’d love for you to join us!

The Fine Print

• We have a strong preference for individuals based in our Austin, TX headquarters who are comfortable with our in-office work culture. We offer relocation assistance to new employees relocating to Austin.
• At this time, ClosedLoop is unable to provide visa sponsorship. Candidates must be authorized to work in the United States without the need for sponsorship now or in the future.
• A few words on our approach to recruiting: We will never ask an applicant for sensitive or personal financial information during any stage of the recruitment process. We advise all applicants seeking employment with ClosedLoop to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing ClosedLoop should email [email protected]