Data Analyst

149 Thirteenth Street Building 149 Charlestown (Building 149), United States

Mass General Brigham

Mass General Brigham is an integrated healthcare system, uniting great minds to solve the hardest problems in medicine for our communities and the world.

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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

We are looking for a Data Analyst, with a very strong background in Computational Imaging in Dr. Julie Price’s Positron Emission Tomography (PET) Pharmacokinetics group at the Athinoula A. Martinos Center for Biomedical Imaging, within the Department of Radiology at Massachusetts General Hospital, an affiliate of Harvard Medical School. The Martinos Center offers an excellent training environment and resources for career advancement, as well as a wealth of institutional expertise in all areas of medical imaging. The position requires strong computer science skills, high-level technical and analytical skills, strong troubleshooting abilities, strong research and writing skills, and the ability to work independently.

The research is firmly rooted in multimodal imaging, such as simultaneous PET/MR imaging. Dr. Price’s group specializes in dynamic PET image analysis for the in vivo assessment of physiologic parameters (e.g., blood flow, glucose metabolism, neurotransmitter system function and neuropathological protein accumulation (e.g., amyloid-beta plaques, hyperphosphorylated tau). Research activities include pharmacokinetic modeling, kinetic evaluation of novel PET radiotracers, analysis pipeline development -as well as study design, data interpretation, and computer simulation. This includes collaborations in the application of machine learning and deep learning methods that build on the multimodal research that utilizes multiple types of intra-subject information (e.g., structural and functional MRI, functional PET, behavioral measures) to provide robust and informative outcome measures. These efforts are currently applied to imaging studies of normal aging and neurodegeneration, neuropsychiatric disorders, and diabetes-related research. This work is primarily funded by the National Institutes of Health.

The Computational Data Analyst will be part of the Martinos Center PET/MR research group that takes part in multidisciplinary team science across disciplines and research levels (e.g., physicists, bioengineers, radiochemists, neuroscientists, biologists, physicians, research scientists and fellows, analysts, coordinators, technologists, and students.


 

Qualifications

PRINCIPAL DUTIES AND RESPONSIBILITIES:

  • Maintain and enhance existing image processing pipelines
  • Design new image processing pipelines, with an emphasis on validation, version tracking and high performance computing.
  • Develop neuroinformatics tools to track data provenance and project management.
  • Test and evaluate imaging software to determine suitability for research goals.
  • Regular, direct interaction with researchers from within and outside the Martinos Center to assist with imaging data analysis using a range of tools including Bash scripting, Matlab, FSL, Python, FreeSurfer, R, and Statistical Parametric Mapping software.
  • Participate in other aspects of research, including academic manuscript development and support for grant writing, as relevant to the skills and interests of the analyst.
  • Other duties

SKILLS & COMPETENCIES REQUIRED: 

Required:

  • Proficiency in Bash scripting, Python and Matlab
  • Some prior experience with neuroimaging software and analysis (e.g., FSL, FreeSurfer, SPM)
  • Superior Linux skills and proficiency in bash scripting
  • Ability to install and validate new software and teach basic use to new users
  • A strong commitment to the development, validation, and implementation of robust and tractable software pipelines.
  • The ability to work in an interdisciplinary, diverse, and international team.

Preferred:

  • Understanding of PET imaging and/or Magnetic Resonance Imaging (MRI)
  • Basic knowledge of neuroscience and neuroanatomy
  • Experience with further fields of relevance, such as High Performance Computing, machine learning, deep learning, and neuroinformatics would be beneficial.
  • Basic experience with scientific research summaries and presentations (Excel, Word, Powerpoint)
  • Experience with statistical analyses (e.g., R software)
  • Proficiency in website building/maintenance using content management systems (e.g., Word Press)

EXPERIENCE:

Required:       2 years of experience in Linux (UNIX)-based environments

2 years of experience in software or data management or 1 year of experience if directly related to Matlab, Python, FreeSurfer and/or MRI data.

Preferred:      2 years of experience in neuroimaging analysis


 

Additional Job Details (if applicable)

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

149 Thirteenth Street Building 149


 

Scheduled Weekly Hours

40


 

Employee Type

Regular


 

Work Shift

Day (United States of America)


 

EEO Statement:

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.

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Category: Analyst Jobs

Tags: Computer Science Data analysis Data management Deep Learning Excel HPC Linux Machine Learning Matlab Nonprofit Pipelines Python R Research Statistics Teaching

Perks/benefits: Career development Health care Team events

Regions: Remote/Anywhere North America
Country: United States

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