Principal Data Scientist - AI in Healthcare

About the Role

Our client is a pioneering force in health technology and is seeking an exceptional Principal Data Scientist with a focus on Artificial Intelligence to join their fully remote, global team. This senior role is instrumental in developing and deploying advanced AI solutions that transform healthcare delivery, patient outcomes, and operational efficiency. You will lead complex data science projects, mentor a team of talented data scientists, and collaborate with stakeholders across engineering, product management, and clinical research. The position represents a unique opportunity to drive innovation in a critical sector, working from anywhere on cutting-edge AI applications that make a tangible difference in people's lives, supported by a culture that values autonomy and impactful work.

Key Responsibilities

• Lead the design, development, and implementation of sophisticated AI and machine learning models for healthcare applications (e.g., predictive diagnostics, personalized treatment plans, operational optimization).
• Extract, clean, and analyze large, complex datasets from diverse healthcare sources, including EHRs, imaging, and sensor data.
• Develop robust MLOps pipelines for model deployment, monitoring, and continuous improvement in production environments.
• Mentor and guide junior data scientists, foster best practices in data science and AI, and contribute to the team's technical strategy.
• Communicate complex technical concepts and findings effectively to both technical and non-technical audiences, influencing strategic decisions.

Requirements

• A PhD or Master's degree in Data Science, Computer Science, Statistics, Machine Learning, or a related quantitative field.
• Extensive professional experience (8+ years) in data science, with a proven track record of delivering impactful AI solutions, preferably in the healthcare domain.
• Deep expertise in various machine learning algorithms (deep learning, NLP, reinforcement learning) and statistical modeling techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is essential.

Benefits

• Highly competitive salary, significant stock options, and bonus potential.
• Comprehensive health, dental, and vision benefits package.
• Generous allowance for home office equipment and professional development funds.
• Fully remote work environment with flexible hours and global collaboration opportunities.
• Opportunity to make a profound impact on the future of healthcare through innovative AI solutions.