Programmer Analyst

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

Summary
Responsible for designing statistical models that support clinical research efforts. Designs and develops research projects and manages data and statistical analysis interpretation. May assist a clinical researcher with preparation of reports and documents.

Does this position require Patient Care?
No

Essential Functions
-Draw conclusions or make predictions, based on data summaries or statistical analyses.

-Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.

-Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.

-Calculate sample size requirements for clinical studies.

-Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.

-Design research studies in collaboration with physicians, life scientists, or other professionals.

Qualifications

Education
Master’s Degree Biostatistics required or Master’s Degree Related Field of Study required

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

Licenses and Credentials

Experience
Experience as a biostatistician, data analyst or related experience 1-2 years preferred

Knowledge, Skills and Abilities
– High degree of computer literacy.
– Sound analytical and organizational skills.
– Requires excellent oral and written communication skills.
– Must be able to logically and effectively structure tasks and set priorities.
– Ability to identify problems and troubleshoot solutions.
– Demonstrated ability to analyze data statistically and to logically present it.

Additional Job Details (if applicable)

Specific responsibilities include:

• Manage REDCap (Research Electronic Data Capture) databases, ensuring data collection integrity and compliance.
• Prepare large datasets for analysis and prepare ad hoc reports, figures, tables and reviews on various topics for several different projects.
• Complete preliminary statistical analyses as well as support more advanced analyses performed by the Center’s Director of Biostatistics.
• Serve as technical support to research staff. Offer technical input regarding the improvement of ongoing studies and design of new studies.
• Assist with data analysis and preparation of research data for presentations and written publications.
• Maintain documentation for the Institutional Review Board and perform or delegate related administrative tasks.
• Develop applications to expedite and fortify the integrity of common research-related data processing tasks.
• Monitor inventories, purchase new supplies as needed, and maintain computer systems.
• Train and supervise other programmers at the Center for Addiction Medicine on best practices in data management.

Qualifications – External

The position requires proficiency in biostatistics and multiple programming languages, excellent organizational skills, good interpersonal skills, strong quantitative and technical skills, a willingness and ability to learn, attention to detail, the ability to prioritize multiple tasks and handle fluctuating priorities and deadlines, good communication skills, the ability to work independently as well as with others. An interest in the work of the Center for Addiction Medicine is important as well as in working with human research participants and a diverse research team including psychiatrists, psychologists, neuroscientists, imaging scientists, a team of research assistants/coordinators, and support staff. Strong computer and programming skills with scripting language experience (e.g. Python, Matlab, R) are required. Familiarity with a wide variety of software tools for data collection and analysis such as (in order of importance): R, shell scripting, git/GitHub/GitLab, Matlab, Python, PsychoPy, FSL, Freesurfer, and HTML/CSS/web design is beneficial. Proficiency in basics of principles of biostatistics is required.

Education:

Bachelor’s degree in biostatistics, computer science, mathematics, biomedical engineering, bioinformatics, or related field required.

Experience:

Required: 1-2 years of related experience. Strong computer and programming skills with scripting language experience (e.g. Python, Matlab, R) are required. Proficiency in basic biostatistics methods is required to conduct independent preliminary analyses and to support more advanced analyses performed by doctoral-level statistical staff.

Preferred: Experience in clinical research, preferably addiction/mental health. Knowledge of

a wide variety of software tools for data collection and analysis such as R, shell scripting, git/GitHub/GitLab, PsychoPy, FSL, Freesurfer, and HTML/CSS/web design is preferred.

Physical Requirements

• Standing Occasionally (3-33%)
• Walking Occasionally (3-33%)
• Sitting Constantly (67-100%)
• Lifting Occasionally (3-33%) 20lbs – 35lbs
• Carrying Occasionally (3-33%) 20lbs – 35lbs
• Pushing Rarely (Less than 2%)
• Pulling Rarely (Less than 2%)
• Climbing Rarely (Less than 2%)
• Balancing Occasionally (3-33%)
• Stooping Occasionally (3-33%)
• Kneeling Rarely (Less than 2%)
• Crouching Rarely (Less than 2%)
• Crawling Rarely (Less than 2%)
• Reaching Occasionally (3-33%)
• Gross Manipulation (Handling) Constantly (67-100%)
• Fine Manipulation (Fingering) Frequently (34-66%)
• Feeling Constantly (67-100%)
• Foot Use Rarely (Less than 2%)
• Vision – Far Constantly (67-100%)
• Vision – Near Constantly (67-100%)
• Talking Constantly (67-100%)
• Hearing Constantly (67-100%)

Remote Type

Hybrid

Work Location

101 Merrimac Street

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

EEO Statement:

Mass General Brigham Incorporated is an Equal Opportunity 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.

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