At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission—from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.
At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare — people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds – to apply.
Job Summary
Produces innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.Essential Functions
-Performs statistical analysis, hypothesis testing, and data modeling on large data sets.
-Uses machine learning and AI to solve problems.
-Identifies key process drivers when analyzing large sets of data.
-Performing modeling, forecasting, and programming using Python or other programming languages.
-Provides training to junior data scientists and/or analysts.
-Participates in meetings with senior leaders when presenting results of studies.
Qualifications
Education
Master's Degree Data Science required or Master's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
No
Licenses and Credentials
Experience
Data Science experience 2-3 years required
Knowledge, Skills and Abilities
- Familiarity with machine learning algorithms, statistical techniques, and data mining methods.
- Familiarity with healthcare data sources, such as electronic health records (EHR), claims data, and administrative data.
- Understanding of data governance, data quality, and data management principles.
- Strong problem-solving and critical thinking skills, with the ability to analyze complex problems and develop innovative solutions.
- Excellent communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
Additional Job Details (if applicable)
Remote Type
Hybrid
Work Location
221 Longwood Avenue
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
EEO Statement:
The Brigham and Women's Hospital, Inc. is an Affirmative Action 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.
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.