Site: The Brigham and Women's Hospital, Inc.

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 Clinical Trials Outcomes Center (CTOC), Co-Directed by Scott D. Solomon, MD and Brian Claggett, PhD, is an academic research organization (ARO) contracted by and partnering with study sponsors to provide primary and secondary biostatistical analysis and consulting services for primarily late-stage global cardiovascular clinical trials. The CTOC is a well-established and growing ARO with 10-15 active and ongoing service contracts with a legacy portfolio of over 50 clinical programs from which analyses may occur. Through close collaboration and with the highest degree of scientific rigor, the CTOC supports a wide range of activities including study design, establishment of statistical analysis plans, statistical analysis and programming services, and associated FDA presentation to support primary analysis and/or subsequent, secondary analyses of study results.

The Data Analyst will work as part of a team of clinicians and scientists working on high-dimensional biomarker research projects. These research projects are designed to enable discoveries that will profoundly impact human health and disease. The candidate will require professionalism, self-motivation, and an ability to work independently with regular supervision. The Data Analysis will be highly motivated and able to learn new analytical skills. The Data Analyst may be responsible for the following activities:; cleaning and analyzing large databases of patient data; statistical programming; validation testing; contributing to the preparation and presentation of research results in the form of summary tables, figures for both written and oral presentations of study data; indirectly liaising with Global Study Leaders, MGB-wide and other global investigators and Institutions on collaborative research activities.

​PRINCIPAL DUTIES AND RESPONSIBILITIES

1) Responsible for performing core Data Analyst functions as interpreted and directed by CTOC Co-Directors:

• Perform descriptive and inferential statistical analyses.

• Maintain and develop a variety of datasets. Interpret, summarize, and review statistical methods of various research projects.

• Perform select literature reviews.

2) Responsible for ensuring high-quality collection and organization of research patient data.

3) Responsible for maintaining and analyzing large research databases containing high-dimensional biomarker and outcomes data.

4) Contribute to study design as well as creation and implementation of analytical plans for specific research projects or a set of research projects.

5) Contribute to the preparation and presentation of research results in the form of oral presentations at meetings and conferences as well as in the form of original research publications.

6) Coordinate collaborative data analysis related activities with investigators within other Harvard departments and at other institutions across the U.S., Europe, and Latin America.

QUALIFICATIONS

MS in Data Science or Biostatistics required

SKILLS/ABILITIES/COMPETENCIES REQUIRED

• Able to multitask and assign priorities in a busy environment.

• Excellent interpersonal skills are required for working with a dynamic team.

• Excellent English oral and written communication skills.

• Experience and knowledge of at least one of the following statistical programming applications: SAS, STATA, R, MatLab.

• Excellent organizational skills and ability to prioritize a variety of tasks.

• Candidate must be highly organized and have precise attention to detail.

• Ability to demonstrate professionalism and respect for subjects’ rights and individual needs.

SUPERVISORY RESPONSIBILITIES

None

WORKING CONDITIONS

Standard office environment

Hybrid

75 Francis Street

0

Per Diem

Day (United States of America)

The Brigham and Women's Hospital, Inc. 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.