At Brigham and Women’s Hospital, we are looking for an exceptional Clinical Data Scientist to play a pivotal role in building cutting-edge solutions (in form of analytics artifacts as well as data and technology platforms) that will help us with our vision of “A Healthier World”. You will be responsible for delivering meaningful insights from the data using innovative methods in data science such as predictive modeling techniques or novel data visualizations. This includes data from our institution, as well as regional and national data available to our institution. You will work directly with the Medical Director for Data Science and Analytics, within a collaborative and iterative environment that embraces agility and flexibility as core values. Our ideal candidate aspires to become a leading subject-matter expert in the use of advanced data science in healthcare operations, comes in with an unmatched set of highly desirable technical and organizational skills, and is willing to learn a broad range of skills and methodologies within a short period of time as needs arise.

Responsibilities:

1. Develops and/or uses statistical algorithms and modeling techniques to evaluate scenarios and predict future outcomes
2. Consults with clinical leaders to understand problems and goals, and translate these needs into advanced analytics solutions
3. Quickly develops subject-matter expertise by fully understanding the complex methodologies used for measurement of healthcare outcomes
4. Applies statistical rigor to analyze large amounts of data using advance data science techniques
5. Wrangles structured and unstructured data to solve complex business problems
6. Manages large and complex analytical projects through data exploration and modeling, testing and evaluation
7. Closely collaborates with analysts and data engineers at the Decision Support Systems (DSS) team at the Brigham, as well as the Partners eCare (PeC) reporting team at Partners HealthCare, to develop technical and business approaches and/or enhanced technical tools
8. Creates innovative visualizations of the data to effectively communicate analytical results
9. Translates the data artifacts into clinical and business insights, and delivers these insights through presentations prepared for audiences at various levels of leadership and technical expertise
10. Demonstrates superior communication skills, and ability to develop and participate in presentations and consultations on analytics results and solutions
11. Works closely with thought leaders in clinical, analytics and data science areas at the Brigham and Women’s Hospital and across Mass General Brigham to reuse and share knowledge, tools and methodologies
12. Mentors others and champions a culture of transparent feedback and continuous learning

Qualifications

• ​​​​​​Masters’ degree required in data science, biomedical informatics, statistics/biostatistics, epidemiology, economics/econometrics, or related disciplines (PhD is a plus)
• Strong experience with medical claims data analysis is a must, familiarity with data sets provided by the Central for Medicare and Medicaid Services (CMS) such as MEDPAR is a plus
• 3-5 years of relevant, progressively complex experience in data management in an industry setting required
• Demonstrated experience with observational and interventional study designs required
• Demonstrated experience with data mining and predictive modeling techniques required; familiarity with neural networks and Bayesian modeling techniques is a plus.
• Deep understanding of platforms and languages to analyze large data sets from multiple sources preferred
• Experience with electronic health record (EHR) data preferred (experience with Epic Systems highly preferred)
• Strong skills with SQL, R and python required. Broad experience in programming across different platforms and languages preferred.
• Experience with managing several concurrent, complex projects required (2 years minimum)
• Excellent organizational skills and attention to detail required
• Excellent communication and writing skills required
• Demonstrated analytical and problem-solving capabilities required
• Clinically oriented background or professional experience is a plus
• Familiarity and experience with Agile development principles is a plus