Statistical Data Analyst
Partner's Healthcare

Site: The General Hospital Corporation

At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission-from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.

At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare - people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds - to apply.

Job Summary
The Massachusetts General Hospital (MGH) Heart Failure Section within the Corrigan Minehan Heart Center is seeking a highly motivated Statistical Data Analyst to work on multiple clinical and translational research projects focused on cardiovascular disease. This role will be central for high-impact research projects presented at national and international conferences and published in major medical journals.

This Statistical Data Analyst position works with staff members within the MGH Heart Failure Section who are faculty members at Harvard Medical School and Cardiology Division at MGH. Investigators and analysts work as members of a collaborative multidisciplinary team of clinicians, scientists, and trainees. Under the supervision of a PIs, the selected candidate will lead data analyses for projects related to heart disease and is expected to leverage conventional and advanced data science approaches in the analysis of high-dimensional clinical datasets. Additional responsibilities include developing research protocols, compiling data, managing databases, performing quality assurance, validating programming, and generating outputs and visuals that summarize study results.

The selected candidate will also contribute to the preparation of manuscripts, conference abstracts, grants, and other publications, as well as assist in coordinating collaborative research activities with internal and external investigators. Strong communication skills and the ability to convey statistical concepts in simpler and relatable terms is highly desired.

Qualifications

Principal Responsabilities:
• Lead the efficient synthesis and analysis of clinical data for all assigned projects related to cardiovascular disease.
• Participate in study design meetings with internal and external investigators, providing guidance on sample size requirements, approaches to measurement, and clinical endpoints.
• Assist with preparation of IRB submissions and renewals.
• Assist investigators in the development and implementation of statistical analysis plans, ensuring analytical activities are within scope, timeline, and reach the overall aims of each project.
• Participate in the preparation and presentation of study results in manuscripts, conference abstracts, or other publication mediums.
• Coordinate and participate in collaborations with investigators within other Harvard departments and at other institutions across the U.S.
• Participate in and report on assigned project status at bi-weekly team meetings.
• Actively participate in continuing education and mentorship of other research team members.
• Proactively conduct quality control/quality assurance of programming and statistical models, automating processes whenever possible.

Education

A Master's degree in statistics, biostatistics, mathematics, or a related field is required.

Can this role accept experience in lieu of a degree?
No

Experience:

If newly graduating from graduate school, prefer course experience in advanced statistic methods and machine learning.

Knowledge, Skills and Abilities

Position Requirements:
• A Masters degree in statistics, biostatistics, mathematics, or a related field is required.
• Proficiency in biostatistical methods such as quasi-experimental methods appropriate for analysis of complex, observational datasets (claims data, observational cohorts, and clinical trial data); survival analysis; regression; dimension reduction and methods appropriate for clustering and panel data; and machine learning is required.
• Proficiency in oral and written English communication is required.
• Experience and proficiency in one or more of the following statistical programming languages is required: Python, R, SAS, NCSS, MPlus, SPSS, and Stata.

Skills/Competencies that are highly desired:
• Experience and proficiency in prioritizing tasks and requesting support (when needed) while adhering to project deadlines is highly desired.
• An ability to convey complex statistical concepts to a diverse team of clinical professionals with a varying levels of expertise in statistics is highly desired.
• Experience in new machine learning platforms such as Tensorflow, Keras, Pytorch is highly desired.
• Experience in econometric statistical techniques including instrumental variables methods and regression discontinuity is highly desired.

Additional Job Details (if applicable)

Remote Type

Hybrid

Work Location

2014 Washington Street

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

EEO Statement:

The General Hospital Corporation 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.

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.