Data Scientist

Mass General Brigham • Boston, MA

8d • Remote

About The Position

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. The Obstetrics and Gynecology Department at Massachusetts General Hospital is seeking a Data Scientist to provide analytic and project management support for its reproductive health research initiatives. The Data Scientist position requires strong project management and data analytic skills, experience with large healthcare datasets (claims, electronic health records, etc), close attention to detail and timelines, discretion in handling sensitive information, and strong interpersonal skills. The candidate will perform data management, statistical analysis, and report preparation to facilitate the analysis of and interpretation of healthcare data. The position offers significant involvement in an exciting area of research and a collaborative research environment. 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 Summary Responsible 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.

Requirements

• Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred
• Experience working in data science-type positions and with large data sets 2-3 years preferred
• Ability to create reports and dashboards with Tableau.
• Skilled in data analysis with Python and SQL.
• Knowledge of statistics.
• Knowledge of machine learning.

Nice To Haves

• Preferred SQL database management and administrative knowledge.
• Practiced knowledge of numerical optimization algorithms.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees