Principal AI Engineer

Our client is redefining digital patient engagement by empowering patients in their healthcare journey, both inside and outside the hospital. They are on a mission to improve patient outcomes and reduce the cost of care through advanced AI-driven solutions. They are in an exciting phase of growth and transformation, and they're looking for a talented and experienced Data Scientist to help shape the future of our company.We are seeking a seasoned Data Scientist with deep LLM experience who will play a critical role in developing advanced predictive models and generative AI applications in order to transform the healthcare consumer experience and drive improved health outcomes. The ideal candidate will be passionate about harnessing the power of data to make a positive impact in healthcare, eager to solve complex challenges, and skilled in managing and interpreting large datasets.This role would provide you with the opportunity to:Solve Real-World Problems: Your contributions would have a direct, tangible impact on the lives of millions of patients, shaping the future of digital healthcare engagement and hospital operations.Cultivate Innovation: We embrace an AI-first innovation approach combined with a purpose-driven culture that values and encourages innovative ideas and approaches that can drive significant value for millions of patients and healthcare providers.Collaborate with Experts: You would work alongside a diverse, cross-functional team of dedicated professionals who are driven and committed to building the next generation of patient engagement solutions.Grow Professionally: We support continuous learning and professional growth opportunities to keep your skills sharp and up-to-date.Earn Competitive Compensation: We offer an attractive remuneration package, including benefits for full-time employees, along with competitive rates for contractors.Responsibilities:Understand business needs and objectives to develop ML models and generative AI applications that drive impactful strategies and results in patient engagement and workflow automation.Collaborate with stakeholders and cross-functional teams to determine data requirements for projects focused on patient activation and workflow tegrate, normalize, and analyze large datasets to extract meaningful insights that enhance patient experiences and health outcomes.Apply machine learning and statistical methods to create high-performing predictive models that improve patient outcomes.Effectively communicate complex quantitative analyses in a clear, precise, and actionable manner to both technical and non-technical stakeholders.Qualifications:A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field is preferred, but candidates with a Bachelor's degree and substantial relevant experience are also welcome.7+ years experience in designing and developing ML, deep learning, NLP, generative AI solutions for real-world applications, with a focus in Healthcare applicationsStrong knowledge of data science tools, ML frameworks and algorithms, and programming languages such as Python, R, SQL, and experience with cloud platforms (AWS andor Azure)Solid understanding of machine learning and statistical modelingExperience in healthcare, specifically developing applications used by patients andor clinicians (e.g., patient engagement, digital health or care orchestration), is highly preferred.Excellent communication and problem-solving skills, along with the ability to work independently.Eagerness to embrace challenges with fast-paced execution, hands-on involvement, and a proactive sense of urgency.We look forward to hearing from you!

Created: 2025-02-21