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Mass General Brigham

Data Analyst SGG CO-OP

Mass General Brigham, Boston, Massachusetts, us, 02298

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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 missionfrom 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 Channing Division of Network Medicine at Brigham and Women's Hospital and Harvard Medicine School is looking for a talented Data analyst CO-OP intern to join our Systems Genetics and Genomics group.

Brigham and Womens Hospital is a major teaching affiliate of Harvard Medical School and part of Mass General Brigham, the largest recipient of NIH funding among independent hospitals. The Division of Network Medicine is a research division within the Department of Medicine whose goal is to define the etiology of complex diseases and to reclassify them using network-and systems-based approaches. Our group focuses on chronic respiratory disease, including chronic obstructive pulmonary disease and interstitial lung disease. We have access to some of the largest and most well described population-based and respiratory disease cohorts in the world, as part of COPDGene, Trans-Omics for Precision Medicine (TOPMed), and the International COPD Genetics Consortium, and investigators in the UK and Mass General Brigham Biobanks. In these cohorts, data to be analyzed includes whole-genome genetic, RNA-Seq, epigenome, proteomic, and metabolomic data from blood and lung tissue, in bulk and in single cells. Methods include genetic association, differential expression, and integrative omics analysis, including application of machine learning, network, and systems pharmacology methods. Successful candidates will work closely with programmers, postdoctoral fellows, and faculty.

Principal duties and responsibilities:

Develop and use new and existing computational pipelines for analysis of research data.

Efficiently leverage local compute, public and private cloud.

Oversee data processing, dissemination, and access to high-throughput sequencing data.

Provide statistical and analytic support.

Qualifications Qualifications: Prior experience in programming languages and bioinformatics tools commonly used in computational biology. Most of our research projects use the R or Python. While some on the job learning is expected Excellent written and oral communication skills to convey research findings, collaborate with team members, and present at conferences. Willingness and ability to adapt to new technologies, tools, and research directions as the field evolves. Act with ethics and integrity, ensuring that all aspects of work meet or exceed professional standards. Build strong, positive working relationships with others (manager, peers, other coworkers) Strong project management skills to plan, execute, and complete research projects on time with the ability to maintain a detailed and well-organized record of the research performed and the results obtained. Demonstrate dependability (e.g., report consistently, and on time, for work, appointments, and meetings) Ability to resolve technical problems and analytical skills if necessary Accept feedback and use it to strengthen future performance

Education Bachelor's Degree Analytics required or Bachelor's Degree Related Field of Study required

Experience Data Analysis Experience 0-1 year preferred

Knowledge, Skills and Abilities Building proficiency in statistics, data analysis, and research methods. Solid analytical and organizational skills. Strong communication skills both written and oral. Strong time management and project management skills. Ability to exercise sound judgments to make decisions within scope of job responsibilities. Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications. Additional Job Details (if applicable) Remote Type Hybrid

Work Location 181 Longwood Avenue

Scheduled Weekly Hours 0

Employee Type Per Diem

Work Shift Day (United States of America)

EEO Statement: 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.