Senior Data Analyst / Bioinformatics Analyst
Massachusetts General Hospital(MGH)

Boston, Massachusetts

Posted in Health and Safety

Job Info

The Massachusetts General Hospital Center for Aging and Serious Illness (CASI), a research center within the Mongan Institute at Massachusetts General Hospital, seeks a Senior Data Analyst to add to our dynamic and growing team. 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.

The successful Senior Data Analyst will have experience conducting observational data analyses, working with raw data, and using large longitudinal datasets. The ideal candidate has strong analytic and methodological skills, excellent communication skills, experience working with health care data and medical claims data, and the ability to mentor and lead other members of the team.

The Mongan Institute in the Department of Medicine at Massachusetts General Hospital is dedicated to supporting research across the institution in the areas of population and health care delivery science. The Mongan Institute applies population and health care delivery science to expand and strengthen research at Mass General with a specific focus on health disparities and advancing health equity, health policy, population health, implementation science, and patient outcomes. The Mongan Institute currently has approximately 130 faculty researchers and postdoctoral fellows and is advancing a strategic plan to be the academic home for population and health care delivery science across clinical departments at MGH.


Please note, the functions below are representative of major duties that are typically associated with these positions. Specific responsibilities may vary based upon Center needs. Similarly, not all duties that have been outlined will be assigned to each position.

Under the general supervision of the Center for Aging & Serious Illness Director and research faculty, the Senior Data Analyst will work collaboratively with our team to perform a variety of activities including assisting with database development, software programming, data management, statistical analysis, and reporting results for a variety of internal and external projects and constituents. This detail-oriented, motivated, and independent individual will work with large national survey, electronic health record (EPIC), and administrative claims datasets. The Senior Data Analyst will use SAS 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.

In collaboration with the Director for the Center for Aging & Serious Illness and Administrative Director for the Division of Palliative Care & Geriatric Medicine, the Senior Data Analyst provides leadership through motivating, coaching, training, and mentorship of a Data Analyst.


  • 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.
  • Strong programming skills in SAS and willingness to learn other programming languages as necessary.
  • Advanced 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.


  • Master's degree required.
  • 5 or more years of healthcare, bioinformatics, and/or advanced statistical analysis.

SUPERVISORY RESPONSIBILITY (authority to hire, promote, or terminate):

  • 1.0 FTE data analyst


  • Assists in the development, reporting, and oversight of program budgets.
  • Understands and positively impacts the value of efficient data analytics for institutional, grant, or research funded projects.


  • Fast paced and dynamic healthcare research institute.
  • Typical work hours are Monday through Friday daytime hours but may vary based upon individual program or event demands - up to and including periodic evenings and weekend days.
  • MGH Main Campus, but periodic travel to other Mass General Brigham Healthcare system and non-MGB program locations will be necessary.
  • Telecommuting options available, hybrid on-site and remote work.

EEO Statement
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

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