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GENERAL SUMMARY/ OVERVIEW STATEMENT: Summarize the nature and level of work performed. Please note that this section should be written in a paragraph format and provide a broad description of the role and its purpose as well as the reporting structure.
A full-time 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 8 institutions (Brigham and Women's Hospital, Columbia 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 analyst will assist with this effort by developing image analysis pipelines for ex vivo MRI and microscopy images. 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.
PRINCIPAL DUTIES AND RESPONSIBILITIES: In order of importance, list essential areas of responsibility, major job duties, special projects and key objectives for this position. These items should be evaluated throughout the year and included in the written annual evaluation. This section should be completed as a bulleted list and explain how the role is performed.
- 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 acquisition, quality assurance, pre-processing, and annotation of imaging data
- 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: This section should be a bulleted list of minimum requirements explaining the skills (what the individual is trained for) and competencies (measurable as defined by the job) necessary to perform the job.
- 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 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.
- A high degree of professionalism and attention to detail.
EDUCATION:
Minimum Required: Bachelor's Degree
Preferred: Master's Degree
EXPERIENCE:
Required: Prior experience in medical image analysis/visualization and scientific computing
WORKING CONDITIONS:
Our team is based at the Martinos Center for Biomedical Imaging. We work in the Center's computer labs, wet labs, and MRI or optical imaging facilities with fixed post mortem brains. Flexibility to perform or monitor data acquisition on evenings or weekends, depending on scheduling constraints of the respective imaging facilities, is required.
EEO Statement
Massachusetts General Hospital 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.
Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.