Principal Data Scientist

Mass General Brigham (Enterprise Services)
United States, Massachusetts, Somerville
399 Revolution Drive (Show on map)
Jan 14, 2025
The Opportunity: At Mass General Brigham Digital, we pride ourselves on our ability to create maximum strategic, clinical, and operational value from established and emergent technologies for our patients, care teams, researchers, and employees. Digital health will not only enhance the equity and efficiency of healthcare delivery, but it will also help make medicine more personalized and precise. We recognize that increasing value and continually improving quality while maintaining an inclusive focus are essential to organizational excellence, and we invite you to join us on this journey. The work we do in Digital is a strategic imperative, and there is a strong and growing understanding of how together we will transform Mass General Brigham in innovative and impactful ways. Reporting to the Senior Director of Enterprise Data Science, the Principal Data Scientist is a senior-level experienced scientist with a problem-solving mindset, responsible for analyzing data, uncovering the underlying data patterns and logic, and developing data-driven applications using innovative methods in data science such as machine learning, artificial intelligence, and large language models. These techniques will be used to build cutting-edge solutions to support healthcare operations and to help us with our vision of "A Healthier World". The Principal Data Scientist is responsible for developing solutions for the entire problem-solving cycle: finding/prioritizing the problems, researching the best algorithms to solve them, designing robust, practical solvers, and implementing them in the health care environment. The ultimate purpose of the Principal Data Scientist work is developing solutions making hospital operations more efficient, reliable, and integrated, improving staff productivity and patient satisfaction. Principal Duties and Responsibilities: Develops and/or uses advanced AI/ Machine Learning (ML) and predictive modeling techniques to solve business problems. Consults with clinical leaders to understand problems and goals and translate these needs into advanced analytics solutions. Wrangles structured and unstructured data to identify patterns and provide meaningful insights to the stakeholders which would aid in decision making. Leads large, complex projects involving coordination with multiple stakeholders and delegation of tasks to junior team members. Reviews code written by others, enforcing coding guidelines and best practices. Collaborate across multiple teams. Communicate predictive model results to clinical leaders and stakeholders through presentations prepared for audiences at various levels of leadership and technical expertise. Provide on-going tracking and monitoring of performance of models and recommend ongoing improvements to methods and algorithms that lead to findings, including new information. Mentors junior data scientists and data analysts. Other duties and responsibilities as assigned Education Masters' or Ph.D. degree required in computer science, biomedical informatics, statistics/biostatistics, mathematics, epidemiology, economics/econometrics, or related disciplines. Experience in the field of data science 5-7 years required Knowledge, Skills and Abilities Experience with healthcare industry. Clinically oriented background with knowledge and understanding of medical coding including ICD, CPT, DRG etc. 5-7 years of experience of hands-on modeling skills and strong analytical programming skills using R/Python. 5-7 years of experience manipulating large datasets and using databases, including proficiency in tools such as SQL or Spark. Strong background in statistics and experimental methodology, including expertise in hypothesis testing, experimental design, statistical modeling, and the interpretation of results to drive data-informed decision-making. Demonstrated experience with data mining and predictive modeling techniques such as tree-based methods, SVM, neural networks, Bayesian modeling techniques and Large Language Models (LLM). Familiarity and experience with agile development principles and git. Deep understanding of platforms such as Snowflake, Microsoft Azure, and Databricks to analyze large data sets from multiple sources. Excellent communication and organizational skills. Self-motivated and demonstrate ability to quickly understand new concepts-all the way down to algorithms-and to come out with original solutions to issues. Physical Requirements Standing Occasionally (3-33%) Walking Occasionally (3-33%) Sitting Constantly (67-100%) Lifting Occasionally (3-33%) 20lbs - 35lbs Carrying Occasionally (3-33%) 20lbs - 35lbs Pushing Rarely (Less than 2%) Pulling Rarely (Less than 2%) Climbing Rarely (Less than 2%) Balancing Occasionally (3-33%) Stooping Occasionally (3-33%) Kneeling Rarely (Less than 2%) Crouching Rarely (Less than 2%) Crawling Rarely (Less than 2%) Reaching Occasionally (3-33%) Gross Manipulation (Handling) Constantly (67-100%) Fine Manipulation (Fingering) Frequently (34-66%) Feeling Constantly (67-100%) Foot Use Rarely (Less than 2%) Vision - Far Constantly (67-100%) Vision - Near Constantly (67-100%) Talking Constantly (67-100%) Hearing Constantly (67-100%) Mass General Brigham Incorporated is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.