How you move is why we’re here. ®
Now more than ever.
Get back to what you need and love to do.
The possibilities are endless...
Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize
the abundant opportunities for growth and success.
If this describes you then let’s talk!
HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment.
Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise
Hospital for Special Surgery (HSS), the world leader in musculoskeletal health, is seeking a Data Scientist to join the Center for Analytics, Modeling, & Performance (CAMP). This new venture aligns experts in data engineering, data science, operational excellence, and medicine to pioneer new and innovative care delivery models, power our digital care platforms, incorporate novel technologies into care, augment clinical decision-making, set new standards in patient experience, advance the field of musculoskeletal health, and ultimately drive industry transformation. In short, CAMP focuses on ‘solving the unsolvable’, developing new technology and operating models to tackle the most complex problems, provide greater operational agility, and deliver a highly personalized patient and consumer experience. To accomplish these goals, HSS and CAMP will leverage its uniquely large musculoskeletal data set, spanning decades of care delivery and including diagnostic imaging, clinical notes, surgical planning guides, and postoperative outcomes.
As a CAMP Data Scientist, you will play a critical role in utilizing data science, applied statistics, and data analytics to improve the wellbeing of HSS patients and beyond by advancing new best-practices and innovations in musculoskeletal care. You will work on the cutting edge of data science in performance measurement and care delivery alongside a group of highly motivated scientists, analysts, clinicians, and operational staff giving you a unique opportunity to understand how applied research and analytics is directly used in clinical care.
- Lead data science projects focused on the application of statistics and statistical methods. Design, prototype, and test novel clinical and digital interventions and models, leveraging machine learning and deep learning (including recurrent and convolutional neural networks) to predict patient outcomes relevant to musculoskeletal, orthopedic, and rheumatological health.
- Leverage advanced computer programming and large datasets toward those ends, including our structured electronic medical record, unstructured clinical notes, and various imaging modalities, focused on developing domain expertise in medicine and musculoskeletal health.
- Work and collaborate with clinical teams, physicians, and operational leaders to develop strategies and data science products to solve real-world problems facing doctors and patients, toward optimizing care, minimizing surgical complications, and managing musculoskeletal disease as efficiently as possible while maintaining the best outcomes for our patients.
- Work with data engineers to deploy designed and well-tested ML models into clinical practice, helping design appropriate frameworks to test and monitor ongoing model performance (e.g., model drift, data drift) and evaluate true downstream impact on clinical care and efficiency (beyond predictive performance).
- Provide methodological, statistical, design, and analytical guidance for new and ongoing operations and applied research projects; facilitate new data collection as appropriate (from novel surveys or new technologies); help assess and measure hospital and provider performance.