Data Scientist Pulmonary Research

Brigham and Women's Hospital, Inc.; Boston (MA); Hybrid; USD 75,000 - 110,000; Full time

Job summary

Brigham and Women\'s Hospital, Inc. is seeking a Data Scientist to collaborate with a critical care physician researcher on EHR data from ICU patients.

You will build data pipelines, maintain the MGB Critical Care Data Repository, and deliver research-ready datasets for investigators and quality improvement projects. You will work with Clarity, Snowflake, and cloud tools, performing data quality checks, developing visualizations, and supporting health services research on sepsis, shock, and

Qualifications

• Experience with SQL, R, Python in healthcare data analysis.
• Ability to create reports and dashboards with Tableau.
• Experience analyzing large clinical datasets and producing reproducible results.
• Strong background in statistics and machine learning concepts.

Responsibilities

• Build and maintain data pipelines and analytic datasets from EHR data.
• Develop data-ready ICU datasets in Snowflake and Clarity environments.
• Create visualizations and reports to support research and quality initiatives.
• Collaborate with clinicians and researchers to map, clean, and validate data.
• Contribute to manuscripts and grant proposals with robust analyses.

Skills

SQL

Python

R

Stata

Data Visualization

Machine Learning

Statistics

Tableau

Education

Bachelor's Degree in a Related Field

Master's Degree in a Related Field

Tools

Clarity

Snowflake

Git

Tableau

ggplot2

Pandas

tidyverse

Job description

Site: The Brigham and Women's Hospital, Inc. 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.

Job Summary

The position will work directly in collaboration with Dr. Shappell, a critical care physician researcher with expertise using data from Electronic Health Records (EHRs) to study the epidemiology and outcomes of critical illness. The position will primarily be responsible for the creation, maintenance, and ongoing operations of the new MGB Critical Care Data Repository, which aims to provide highly granular research‑ready ICU data to MGB investigators for clinical operations, quality improvement, and research projects. This will include working with existing MGB analysts to complete set up of EHR data pipelines and databases using Clarity and MGB’s cloud‑computing environment, Snowflake; collaborating with clinical experts on data mapping and cleaning; performing in‑depth data quality assurance including the production of visualizations and reports; and providing requested data to PCCM Division leadership as needed. In addition, the Data Scientist will support Dr. Shappell’s health services research on critical illness including sepsis, shock, severe viral infections, and respiratory failure; they will also support the full integration of the MGB data repository into an established critical care research consortium via application of a novel common data model. This work will involve completing and ensuring compliance with latest version of common data model, developing and coding new research projects that utilize consortium data, running code locally from other consortium PI‑led projects, and attending weekly consortium meetings. There is opportunity for expansion into work with other EHR data modalities, including unstructured data from clinical notes, waveform data, and/or imaging data, if desired.

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.

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 Responsibilities

Leads creation and maintenance of databases in Clarity’s cloud‑computing environment, Snowflake, using SQL. Data cleaning and management. Prepares analytic datasets using data analysis software (E.g. R tidyverse packages, Pandas for Python) from electronic health care record data sets. Follows the standards of transparent and reproducible data science including use version control software such as git and code with a literate programming style. Anticipates data management needs, including identifying when data pulls will be necessary and obtaining newer versions of datasets. Data visualization with appropriate statistical software, such as the ggplot2 package in R. Reports results of data analysis, prepares figures and tables. Supports PI and trainees in the drafting and revision of manuscripts and grant proposals. Collaborates effectively with local and external PIs and data analysts/scientists. Performs other related work as needed.

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

Licenses and Credentials

Experience

Experience

Experience working in data science-type positions and with large data sets 2-3 years preferred

Knowledge, Skills and Abilities

• Technical expertise with SQL, Stata, R, Python. Experience with database creation and engineering.
• 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 Hybrid Work Location 75 Francis 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

Pay and Benefits

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth.

EEO Statement

2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. 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. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

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. Combat disease. Hold a hand. Help people. Impact the world. Mass General Brigham is a passionate, welcoming community where minds meet caring hearts. Come be a part of the world’s most powerful force in medicine, where every role is important in changing lives. Are you ready? Our history includes New England hospitals founded over 200 years ago, some of the first and most prestigious hospitals in the world. Built on the legacy of two leading academic medical centers, we’re more than a system—we’re leaders in the practice of medicine. Mass General Brigham is committed to serving the community. We are dedicated to enhancing patient care, teaching and research, and taking a leadership role as an integrated health care system. We recognize that increasing value and continuously improving quality are essential to maintaining excellence.