Site: The General Hospital Corporation

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Job Summary:

A full-time Sr. Data Analyst position is available at the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, under the supervision of Dr. Anastasia Yendiki. The analyst will join the investigative team of the Large-Scale Imaging of Neural Circuits (LINC) project, and as such contribute to an unprecedented effort by the NIH BRAIN Initiative to produce first-ever maps of brain connections across scales (https://www.ninds.nih.gov/news-events/highlights-announcements/nih-brain-initiative-launches-projects-develop-innovative-technologies-map-brain-incredible-detail). The LINC project brings together a multi-disciplinary group of experts from 9 institutions (Brigham and Women’s Hospital, Columbia University, Duke University, Harvard University, Massachusetts General Hospital, Massachusetts Institute of Technology, University College London, University of Rochester, Weill Cornell Medicine) to develop novel imaging technologies and combine them with machine learning to produce detailed wiring diagrams of the brain (https://connects.mgh.harvard.edu). The Sr. Data Analyst will assist with this effort by developing software pipelines for the acquisition and analysis of ex vivo microscopy and MRI data. The position offers the opportunity to participate in publications and to be part of a fast-paced research environment at the cutting edge of neuroimaging method development.

Qualifications:

Education:

Bachelor's Degree Analysis required or Bachelor's Degree Related Field of Study required

Experience:

Experience in data analysis 5-7 years required

PRINCIPAL DUTIES AND RESPONSIBILITIES:

• Develop, deploy, and troubleshoot software tools for the acquisition, quality assurance, pre-processing, and annotation of imaging data
• Work with researchers on our team to train, test, and/or troubleshoot their newly developed software tools for image analysis tasks such as registration, segmentation, or tractography
• Assemble and test end-to-end image analysis pipelines, by combining these tools with other publicly available software packages
• Extend image visualization tools to support inputs from these pipelines
• Assist with data management on the cloud-based platform of the LINC project
• Assist with data analysis and visualization for scientific manuscripts
• Assist with maintaining lab documentation and software repositories

SKILLS & COMPETENCIES REQUIRED:

• Strong mathematical skills, as evidenced by relevant coursework. The ideal candidate will have a degree in engineering, applied math, computer science, or related field
• Strong programming skills in python, and experience with at least one more programming language (e.g., C/C++, julia, MATLAB, JavaScript, TypeScript)
• Familiarity with common software packages for neuroimaging and/or microscopy data analysis and visualization (e.g., Free Surfer, FSL, ImageJ)
• Familiarity with at least one machine learning / deep learning framework (e.g., tensorflow, pytorch)
• Willingness and ability to gain experience in languages/frameworks beyond prior experience
• Excellent organizational skills, oral and written communication skills
• Ability to work independently as well as within an integrated research team

Ability to prioritize multiple tasks and handle fluctuating priorities and deadlines

Additional Job Details (if applicable)

Remote Type

Onsite

Work Location

149 Thirteenth Street Building 149

Scheduled Weekly Hours:

40

Employee Type

Regular

Work Shift

Day (United States of America)

Pay Range

$79,560.00 - $115,720.80/Annual

Grade

7

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.

EEO Statement:

1200 The General Hospital Corporation is an Equal Opportunity Employer. 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. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

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.