Data Analyst
Salary undisclosed
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GENERAL SUMMARY/ OVERVIEW STATEMENT:
The Massachusetts General Hospital Division of Palliative Care & Geriatric Medicine is committed to providing the highest quality care to our patients and their families in a respectful, efficient, and safe environment; to communicate openly and directly; and to recognize and value the contributions of every individual. We are dedicated to advancing the diagnosis and treatment of disease through research and education. We strive for innovation, work as a team, and lead by example. Our Division includes the research Center for Aging and Serious Illness (CASI), which is also associated with the Mongan Institute at Massachusetts General Hospital. The mission of the Center for Aging and Serious Illness ( is to better understand the needs of those living with serious illness and their caregivers, develop new interventions, improve current treatments, and explore new questions at the intersection of aging and serious illness. The research team is responsible for a growing number of clinical studies, observational studies, investigator-initiated primary care, hospital-based and community-based implementation studies. It supports the MGH Continuum Project ( and Division program evaluation needs.
The Data Analyst (I or II) reports to the CASI Research Administrative Manager, the CASI Center Director, and Division Leadership. Strong candidates for this role will have experience conducting observational data analyses, working with raw data from a variety of sources (e.g., administrative claims, electronic health record, etc.), and using large longitudinal datasets. The ideal candidate has strong analytic and methodological skills, excellent communication skills, and a personal mission to improve care for older adults or those living with serious illness.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
The Data Analyst will work collaboratively with CASI and the Division to perform a variety of activities including assisting with program evaluation, statistical analysis, and reporting results for a variety of internal and external projects and constituents, database development, software programming, data management, dashboard creation. This detail-oriented, motivated, and independent individual will work with large national survey, electronic health record (EPIC), and administrative claims datasets. The Data Analyst will use SAS or other analytical software and other technical tools to clean data, build datasets, and run statistical analyses for multiple projects. They will be responsible for translating evaluation questions into analytic plans, constructing analytic datasets by extracting raw data, including medical claims data, from electronic data warehouses and other sources as necessary, producing appropriate data summaries, and conducting valid data comparisons and statistical tests. They will have the opportunity to evaluate health care delivery models, contribute to scientific discovery and scholarship and grow in knowledge and expertise. They will be encouraged to learn new methodological skills to advance science and program evaluation using state of the art approaches.
SKILLS & COMPETENCIES REQUIRED:
Ability to work well both independently and as part of a team.
Strong oral and written communication and presentation skills
Strong analytic and data management skills, especially with clinical and biostatistical analyses
Practical problem-solving and ability to move forward in a fast-paced environment
Ability to prioritize work, operate under tight deadlines, and meet deadlines.
Excellent organizational skills, accuracy, and attention to detail. Proficiency with software packages, including Microsoft Office suite.
Resilient, collaborative, flexible, innovative, and curious.
Strong programming skills in SAS and/or other analytic software and willingness to learn other programming languages as necessary.
Basic knowledge of statistical testing and multivariate modeling required (e.g., logistic, and linear regression, longitudinal models) used in Biostatistics/Epidemiology
Experience transforming and analyzing administrative healthcare data (e.g., Medicare/Medicaid, other claims-based or electronic medical records databases (EPIC)) is preferred.
Experience with compiling longitudinal datasets for analysis is preferred.
Is knowledgeable and compliant in all hospital, State and Federal regulatory requirements, including the Division's code of conduct, the MGH mission, credo and boundaries, hospital policy and procedures (where applicable to the performance of the job), Joint Commission on Accreditation of Healthcare Organizations (JCAHO), and Health Insurance Portability and Accountability Act of 1996 (HIPAA)
SUPERVISORY RESPONSIBILITY (authority to hire, promote, or terminate): Indicate supervisory "scope" and list the number of employees supervised.
Not Applicable
FISCAL RESPONSIBILITY:
None
WORKING CONDITIONS:
QUALIFICATIONS:
Depending on relevant experience candidates may be considered for a Data Analyst I or II role
Massachusetts General Hospital 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.
The Massachusetts General Hospital Division of Palliative Care & Geriatric Medicine is committed to providing the highest quality care to our patients and their families in a respectful, efficient, and safe environment; to communicate openly and directly; and to recognize and value the contributions of every individual. We are dedicated to advancing the diagnosis and treatment of disease through research and education. We strive for innovation, work as a team, and lead by example. Our Division includes the research Center for Aging and Serious Illness (CASI), which is also associated with the Mongan Institute at Massachusetts General Hospital. The mission of the Center for Aging and Serious Illness ( is to better understand the needs of those living with serious illness and their caregivers, develop new interventions, improve current treatments, and explore new questions at the intersection of aging and serious illness. The research team is responsible for a growing number of clinical studies, observational studies, investigator-initiated primary care, hospital-based and community-based implementation studies. It supports the MGH Continuum Project ( and Division program evaluation needs.
The Data Analyst (I or II) reports to the CASI Research Administrative Manager, the CASI Center Director, and Division Leadership. Strong candidates for this role will have experience conducting observational data analyses, working with raw data from a variety of sources (e.g., administrative claims, electronic health record, etc.), and using large longitudinal datasets. The ideal candidate has strong analytic and methodological skills, excellent communication skills, and a personal mission to improve care for older adults or those living with serious illness.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
The Data Analyst will work collaboratively with CASI and the Division to perform a variety of activities including assisting with program evaluation, statistical analysis, and reporting results for a variety of internal and external projects and constituents, database development, software programming, data management, dashboard creation. This detail-oriented, motivated, and independent individual will work with large national survey, electronic health record (EPIC), and administrative claims datasets. The Data Analyst will use SAS or other analytical software and other technical tools to clean data, build datasets, and run statistical analyses for multiple projects. They will be responsible for translating evaluation questions into analytic plans, constructing analytic datasets by extracting raw data, including medical claims data, from electronic data warehouses and other sources as necessary, producing appropriate data summaries, and conducting valid data comparisons and statistical tests. They will have the opportunity to evaluate health care delivery models, contribute to scientific discovery and scholarship and grow in knowledge and expertise. They will be encouraged to learn new methodological skills to advance science and program evaluation using state of the art approaches.
SKILLS & COMPETENCIES REQUIRED:
Ability to work well both independently and as part of a team.
Strong oral and written communication and presentation skills
Strong analytic and data management skills, especially with clinical and biostatistical analyses
Practical problem-solving and ability to move forward in a fast-paced environment
Ability to prioritize work, operate under tight deadlines, and meet deadlines.
Excellent organizational skills, accuracy, and attention to detail. Proficiency with software packages, including Microsoft Office suite.
Resilient, collaborative, flexible, innovative, and curious.
Strong programming skills in SAS and/or other analytic software and willingness to learn other programming languages as necessary.
Basic knowledge of statistical testing and multivariate modeling required (e.g., logistic, and linear regression, longitudinal models) used in Biostatistics/Epidemiology
Experience transforming and analyzing administrative healthcare data (e.g., Medicare/Medicaid, other claims-based or electronic medical records databases (EPIC)) is preferred.
Experience with compiling longitudinal datasets for analysis is preferred.
Is knowledgeable and compliant in all hospital, State and Federal regulatory requirements, including the Division's code of conduct, the MGH mission, credo and boundaries, hospital policy and procedures (where applicable to the performance of the job), Joint Commission on Accreditation of Healthcare Organizations (JCAHO), and Health Insurance Portability and Accountability Act of 1996 (HIPAA)
SUPERVISORY RESPONSIBILITY (authority to hire, promote, or terminate): Indicate supervisory "scope" and list the number of employees supervised.
Not Applicable
FISCAL RESPONSIBILITY:
None
WORKING CONDITIONS:
- Fast paced and dynamic healthcare administration office.
- MGH Main Campus, but periodic travel to other Mass General Brigham Healthcare system and event locations will be necessary.
- Typical work hours are Monday through Friday days, but may vary based upon individual event demands, up to and including periodic evenings and weekend days.
- Hybrid: Primarily on-site, with temporary telecommuting options available for remote work.
QUALIFICATIONS:
- Bachelor's degree required. Master's degree preferred.
- 2 or more years of healthcare bioinformatics, and/or statistical analysis experience preferred
Depending on relevant experience candidates may be considered for a Data Analyst I or II role
Massachusetts General Hospital 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.
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.
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