Data Analyst

Perelman School of Medicine at the University of Pennsylvania
Onsite

About The Position

The University of Pennsylvania, a world-renowned Ivy League institution and the largest private employer in Philadelphia, offers a unique working environment on a beautiful urban campus. This position is within the Perelman School of Medicine, one of the oldest and finest medical schools in the United States, known for its leadership in education, research, and innovation. The Data Analyst will work under the guidance of Investigator Aris Sotiras, PhD, in the Center for Biomedical Image Computing and Analytics (CBICA). The role primarily involves testing, validating, and extending advanced image processing algorithms, preparing and applying processing pipelines on magnetic resonance brain imaging datasets, including multi-modal MRI and PET data. The analyst will also be responsible for collecting, organizing, and performing quality control on quantitative and imaging results, and communicating these findings with clinical collaborators. This position provides an opportunity to gain experience with advanced neuroimaging processing techniques and apply them to the study of normal and pathological brain function. For a Data Analyst D, the role entails a higher degree of independence, leading the design, implementation, and optimization of advanced data analysis and image processing workflows, developing complex computational pipelines, integrating multi-modal imaging and clinical datasets, and contributing to methodological innovation. Data Analyst D will also take a leading role in study design, data modeling, interpretation of results, mentor junior analysts, and contribute to grant proposals and manuscripts.

Requirements

  • A Bachelor's Degree and 2 to 3 years of experience or equivalent combination of education and experience (for Data Analyst C).
  • A Bachelor's Degree and 3-4 years of experience or equivalent combination of education and experience (for Data Analyst D).
  • Experience with magnetic resonance imaging (MRI) analysis is required.

Nice To Haves

  • Demonstrated experience in training and deploying deep learning models for image and/or data analysis projects.
  • Strong computer skills (knowledge of Python and/or Matlab, statistical analysis packages, basic shell scripting, experience in Unix platform).

Responsibilities

  • Test, validate and extend advanced image processing algorithms.
  • Prepare and extend processing pipelines.
  • Apply processing pipelines on magnetic resonance brain imaging datasets from various studies involving multi-modal MRI and PET data.
  • Collect and organize final quantitative and imaging results.
  • Perform quality control on the results.
  • Communicate with clinical collaborators for the dissemination and discussion of the results.
  • Lead the design, implementation, and optimization of advanced data analysis and image processing workflows (for Data Analyst D).
  • Develop and deploy complex computational pipelines (for Data Analyst D).
  • Integrate multi-modal imaging and clinical datasets (for Data Analyst D).
  • Contribute to methodological innovation in neuroimaging and biomedical data science (for Data Analyst D).
  • Take a leading role in study design, data modeling, and interpretation of results (for Data Analyst D).
  • Work closely with investigators and clinical collaborators (for Data Analyst D).
  • Mentor junior analysts (for Data Analyst D).
  • Contribute to grant proposals and manuscripts (for Data Analyst D).
  • Drive the adoption of best practices for reproducible and scalable data analysis (for Data Analyst D).

Benefits

  • Comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits.
  • Flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
  • Tuition assistance for employees, spouses, and dependent children at Penn and other institutions.
  • Generous retirement plans (Basic, Matching, and Supplemental) with pre-tax or Roth basis, and investment options through TIAA and Vanguard.
  • Substantial amount of time away from work for relaxation, vacations, personal affairs, illness, or family time.
  • Long-term care insurance (in partnership with Genworth Financial) for faculty and staff and eligible family members.
  • Wide variety of programs and resources to help balance work and personal life (wellness and work-life resources).
  • Array of resources for professional and personal development.
  • Access to a wide range of University resources, cultural and recreational activities (libraries, athletic facilities, arboretum, art galleries, Penn Museum, Annenberg Center, Penn Relays).
  • Discounts and special services (arts and entertainment, transportation, mortgages, new cars, cellular phone service, movie tickets, theme parks).
  • Flexible work options involving non-traditional work hours, locations, and/or job structures.
  • Forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia (Penn Home Ownership Services).
  • Reimbursement for qualified expenses in connection with the legal adoption of an eligible child (Adoption Assistance).
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