Data Scientist
Mass General BrighamAbout the role
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Our research group uses data generated from the routine delivery of healthcare to learn about care delivery, evaluate the effectiveness of medical interventions, and generate evidence that can inform patients, providers and policy makers. Ultimately, we seek to conduct studies that result in improved care for pregnancy, cancers of the female reproductive organs, infertility, and other issue that affect persons with female reproductive organs.
Job Summary
SummaryResponsible for analyzing data, uncovering the underlying data patterns and logic, and developing data-driven applications. They will work towards developing solutions for the entire problem-solving cycle: find/prioritize the problems, research the best algorithms to solve the problems, design robust, practical solvers, and implement them.
Does this position require Patient Care?
No
Essential Functions
-Analyze complex and high-dimensional clinical and operational data for dependencies, patterns, outliers, inaccuracies, and validity.
-Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries.
-Contribute to the design and evaluation of optimal data-driven metrics (such as physician/facility performance criteria, bottleneck metrics, productivity limits, processing delay/error reports, etc.).
-Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
-Generate and test hypotheses and analyze and interpret the results.
Qualifications
Education
Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred
Can this role accept experience in lieu of a degree?
Yes
Experience
Experience working in data science-type positions and with large data sets 2-3 years preferred
Knowledge, Skills and Abilities
- Ability to create reports and dashboards with Tableau.
- Skilled in data analysis with Python and SQL.
- Knowledge of statistics.
- Knowledge of machine learning.
- Preferred SQL database management and administrative knowledge.
- Practiced knowledge of numerical optimization algorithms.
Additional Job Details (if applicable)
Remote Type
Remote
Work Location
265 Charles Street
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
Pay Range
$75,275.20 - $109,553.60/Annual
Grade
6
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