Overview
Remote
On Site
USD 41,100.80 - 59,155.20 per year
Full Time
Skills
Teaching
Mentorship
Mergers and Acquisitions
Electronic Health Record (EHR)
Natural Language Processing
Large Language Models (LLMs)
Data Science
Analytical Skill
Management
Modeling
Professional Development
Medical Records
Biology
Mathematical Modeling
Statistics
Supervision
Organized
Data Entry
Statistical Models
Epic
Data Modeling
Research
Data Visualization
R
Tableau
Health Care
ICD
Workflow
Military
Law
Human Resources
MASS
Leadership
Recruiting
Job Details
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 Drug U.S.E. Lab (Drug Utilization, Safety, and Effectiveness) led by Dr. Ayobami Akenroye in the Department of Medicine at Brigham and Women's Hospital is seeking a full-time Research Data Analyst. Our lab focuses on studying the real-world use, safety, and effectiveness of monoclonal antibody therapies for asthma and other allergic conditions using administrative claims data, electronic health records (EHR), and biobank-linked clinical data.
This is an exciting opportunity for a skilled and motivated data analyst with experience working with large healthcare datasets to contribute to high impact pharmacoepidemiologic research.
The Lab provides ample opportunities for professional development including mentorship, support for attending scientific conferences, and for successful transition to the next phase of the fellow's career, among other opportunities.
This is a full-time on-site role for a Research Data Analyst, located in Boston, MA. The Research Data Analyst will be responsible for conducting data research and analysis to support various projects. Daily tasks include analyzing large datasets, from administrative claims data and/or electronic health record data, performing market and data research, and using statistical methods to draw conclusions about causal relationships. Main role includes pulling data from EHR/administrative claims, data, and/or Biobank data. Role might also include the use of natural language processing and large language models. The ideal candidate will possess strong data science and analytic skills. Candidate will be required to curate datasets relevant to research questions and will manage all the datasets used by the Lab and ensure they are updated periodically. The role also involves preparing reports and communicating findings to stakeholders clearly and effectively.
Essential Functions
-Provide direct assistance with experimental studies.
-Performs basic computational modeling and statistical analysis; prepares drafts of work for review; applies feedback received to create final analyses and/or reports.
-Meets with the PI and team to discuss work plans, activities, and results to support the applicability of efforts, learning opportunities, and professional development.
-Reviews, collates, and prepares standard analyses of medical record data.
Qualifications
Education
Bachelor's Degree Computational Biology required or Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
Yes
Licenses and Credentials
Experience
Experience as attained through education 0-1 year required
Knowledge, Skills and Abilities
- Understanding of human pathophysiology, hematologic function, pregnancy physiology and related fields of study.
- Understanding of mathematical modeling, including dynamical systems, statistical analysis, and computational methods.
- Ability to work collaboratively as part of a team and with supervision from team members.
- Ability to work productively with scientists and clinicians at all levels.
- Works in an organized manner with the ability to follow instructions, processes and timelines.
- Can identify roadblocks occurring within areas of responsibility and refer them to the appropriate party(s) for assistance.
- Strong computer skills, including accurate data entry.
Additional Job Details (if applicable)
Preferred Qualifications:
Remote Type
Hybrid
Work Location
60 Fenwood Road
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
Pay Range
$41,100.80 - $59,155.20/Annual
Grade
5
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. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.
EEO Statement:
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 .
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.
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 Drug U.S.E. Lab (Drug Utilization, Safety, and Effectiveness) led by Dr. Ayobami Akenroye in the Department of Medicine at Brigham and Women's Hospital is seeking a full-time Research Data Analyst. Our lab focuses on studying the real-world use, safety, and effectiveness of monoclonal antibody therapies for asthma and other allergic conditions using administrative claims data, electronic health records (EHR), and biobank-linked clinical data.
This is an exciting opportunity for a skilled and motivated data analyst with experience working with large healthcare datasets to contribute to high impact pharmacoepidemiologic research.
The Lab provides ample opportunities for professional development including mentorship, support for attending scientific conferences, and for successful transition to the next phase of the fellow's career, among other opportunities.
This is a full-time on-site role for a Research Data Analyst, located in Boston, MA. The Research Data Analyst will be responsible for conducting data research and analysis to support various projects. Daily tasks include analyzing large datasets, from administrative claims data and/or electronic health record data, performing market and data research, and using statistical methods to draw conclusions about causal relationships. Main role includes pulling data from EHR/administrative claims, data, and/or Biobank data. Role might also include the use of natural language processing and large language models. The ideal candidate will possess strong data science and analytic skills. Candidate will be required to curate datasets relevant to research questions and will manage all the datasets used by the Lab and ensure they are updated periodically. The role also involves preparing reports and communicating findings to stakeholders clearly and effectively.
Essential Functions
-Provide direct assistance with experimental studies.
-Performs basic computational modeling and statistical analysis; prepares drafts of work for review; applies feedback received to create final analyses and/or reports.
-Meets with the PI and team to discuss work plans, activities, and results to support the applicability of efforts, learning opportunities, and professional development.
-Reviews, collates, and prepares standard analyses of medical record data.
Qualifications
Education
Bachelor's Degree Computational Biology required or Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
Yes
Licenses and Credentials
Experience
Experience as attained through education 0-1 year required
Knowledge, Skills and Abilities
- Understanding of human pathophysiology, hematologic function, pregnancy physiology and related fields of study.
- Understanding of mathematical modeling, including dynamical systems, statistical analysis, and computational methods.
- Ability to work collaboratively as part of a team and with supervision from team members.
- Ability to work productively with scientists and clinicians at all levels.
- Works in an organized manner with the ability to follow instructions, processes and timelines.
- Can identify roadblocks occurring within areas of responsibility and refer them to the appropriate party(s) for assistance.
- Strong computer skills, including accurate data entry.
Additional Job Details (if applicable)
Preferred Qualifications:
- Experience with causal inference methods or advanced statistical modeling.
- Familiarity with Epic's Clinical Data Model or other clinical EHR systems.
- Prior research experience in an academic or healthcare setting.
- Experience with data visualization in R (e.g., ggplot2, Shiny) or Tableau.
- Understanding of healthcare terminology, coding systems (ICD, CPT, RxNorm, etc.), and clinical workflows.
Remote Type
Hybrid
Work Location
60 Fenwood Road
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
Pay Range
$41,100.80 - $59,155.20/Annual
Grade
5
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. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.
EEO Statement:
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 .
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.