Senior Data Analyst

2 months ago

Boston, United States Massachusetts General Hospital Full time
Description

GENERAL SUMMARY/ OVERVIEW STATEMENT:

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 Research 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.

A successful Senior Research Data Analyst will have experience conducting observational data analyses, working with raw data, and using large longitudinal datasets. They will be skilled in data organization, manipulation, and analysis, multiple regression modeling and diagnostics.

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.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

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 Research 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 health insurance claims, and administrative datasets.

The Senior Research Data Analyst will proficiently use SAS software and/or STATA, SPSS, Python, or R 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 Research Data Analyst provides leadership through motivating, coaching, training, and mentorship of a Data Analyst.

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.

* 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.

SUPERVISORY RESPONSIBILITY:

* 1.0 FTE data analyst

FISCAL RESPONSIBILITY:

* 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.

WORKING CONDITIONS:

* 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.

* Hybrid: Primarily on-site, with telecommuting options available for occasional remote work.

Qualifications

QUALIFICATIONS:

* Master's degree required.

* 5 or more years of healthcare, bioinformatics, and/or advanced statistical analysis.

EEO Statement

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.

Primary Location: MA-Boston-MGB MGH Work Locations: MGB MGH 55 Fruit Street Boston 02114 Job: Data/Analytics Organization: Massachusetts General Hospital(MGH) Schedule: Full-time Standard Hours: 40 Shift: Day Job Employee Status: Regular Recruiting Department: MGH Medicine Job Posting: Oct 28, 2024

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