Data Analyst Senior/Data Scientist (Department of Radiology)
University of Pennsylvania

Job Info

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Data Analyst Senior/Data Scientist (Department of Radiology)

University Overview

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

Posted Job Title
Data Analyst Senior/Data Scientist (Department of Radiology)

Job Profile Title
Data Analyst Senior

Job Description Summary
The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education. http://www.med.upenn.edu/

This position is contingent on funding.

Job Description

The Sr. data analyst will work under the guidance of investigators in the Center for Biomedical Image Computing and Analytics (http://www.cbica.upenn.edu/, CBICA), Director, Christos Davatzikos, PhD.
The Data Analyst Sr. will:
* Design experiments, test hypotheses, and build statistical/machine learning models.
* Conduct exploratory as well as advanced data analysis.
* Apply advanced statistical and predictive modeling techniques to develop data-driven solutions for difficult research challenges.
* Develop innovative and effective approaches to solve challenges with heterogeneous data.
* Develop experimental design approaches to validate findings or test hypotheses.
* Lead the design and deployment of novel image processing algorithms.
* Apply, test and validate existing algorithms.
* Design and develop innovative solutions to streamline medical image processing workflows.
* Quantify and provide descriptive, analytical reports using data visualization techniques.
* Mentor and lead junior data analysts, fostering a collaborative and inclusive lab environment.
* Coordinate multiple research projects.

* Manage and consolidate clinical data.

* Manage and conduct quality control and analysis of genetic data.
* Contributing and supporting the writing of manuscripts for peer-reviewed journals.

* Stay up to date with the latest scientific advancements in neurogenerative disease research and incorporate innovative approaches into research strategies.
* Build and maintain strategic, high-level relationships across the University as well as external collaborators to leverage resources and maintain knowledge of new or emerging technologies and solutions.
* Strong computational skills (knowledge of Python and/or Matlab, statistical analysis packages, advanced shell scripting, experience in Unix platform) will be preferred. Strong problem solving and organizational skills are a must. Experience with medical images is a plus.
CBICA has been a dynamically growing medical image analysis group, including several laboratories and many collaborators from diverse fields. Opportunities exist
in many existing and new projects, including computational neuroanatomy of aging and neurodegenerative diseases, major depressive disorder and psychosis.

Qualifications
Bachelor's Degree in Biomedical engineering, Mathematics, Statistics/Biostatistics, Neuroscience, Applied Physics, Computer Science/Informatics, or related data science field, and 4-5 years of experience or equivalent combination of education and experience is required.

A Master's Degree is preferred.

* Publication record in the areas of biomedical imaging is desirable. Strong computational skills (knowledge of Python and/or Matlab, statistical analysis packages, advanced shell scripting, experience in Unix platform) and strong problem solving and organizational skills are a must.

* Experience creating and using advanced machine learning algorithms and statistics.

* Experience working with medical images is required.

* Excellent written and verbal communication skills for coordinating across teams and experience in leading teams.

* Excellent teamwork and collaboration skills are needed to support multiple projects led by individual principal investigators.

* Confidentiality of all HIPAA-related Personal Health Information (PHI) at all times required.

* Must be able to exercise initiative and judgment in setting priorities and working independently.

“The job pay range encompasses the full range of employees from new hires to the salaries of Penn employees with many years of experience and seniority and is not a precise indicator of salaries of new hires when looking at the top end. Based on what we pay employees coming into this position our pay range is 80,000-100,000 based on education and experience above the minimum qualifications."

This position is contingent upon grant funding.

Working Conditions
Office, Library, Computer Room

Physical Effort
Typically sitting at desk or table

Data Scientist position (additional tasks):

Summary:

Responsible for applying data science tools and methods to research tasks. Collects and extracts data using a variety of data extraction tools (e.g., web-scraping, data mining). Independently carries out data management, visualization, wrangling, and analysis tasks. Assists faculty, staff, and/or other academic workers with collaborative high-density data projects, providing organization of tasks and workflows for programmatic needs. Troubleshoots issues and identifies solutions.

Job Responsibilities

• Independently designs, implements, tests, deploys, documents, and maintains machine learning algorithms, applications, analysis pipelines, and results reporting methodologies
  
• Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful to planning and service design.
  
• Visualize complex data by creating figures, tables, maps, and infographics for research projects
  
• Maintain knowledge of cutting-edge methods and best practices for leveraging data science tools and resources
  
• Perform advanced data analysis tasks for academic research projects
  

Qualifications

• Master of Science and 1 to 2 years of experience, or an equivalent combination of education and experience
  

This position is contingent upon grant funding.

Working Conditions
Office, Library, Computer Room

Physical Effort
Typically sitting at desk or table

Job Location - City, State
Philadelphia, Pennsylvania
Hybrid Eligible - This position is eligible for a hybrid work schedule with a work week divided between working onsite and working remotely.

Department / School
Perelman School of Medicine

Pay Range
$74,476.00 - $100,000.00 Annual Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, as well as internal and market factors and grade profile.

Affirmative Action Statement
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.

Special Requirements
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits

• Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
  
• Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.
  
• Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.
  
• Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be.
  
• Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.
  
• Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.
  
• Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally.
  
• University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free.
  
• Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.
  
• Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures.
  
• Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
  
• Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.
  

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To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay


To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Med-Sch-Richards-Building/Data-Analyst-Senior--Department-of-Radiology-_JR00088595-1









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