Senior Data Scientist (Department of Pathology and Laboratory Medicine)
University of Pennsylvania

Senior Data Scientist (Department of Pathology and Laboratory Medicine)

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
Senior Data Scientist (Department of Pathology and Laboratory Medicine)

Job Profile Title
Data Analyst Senior

Job Description Summary
The Data Scientist will work in the Center for AI and Data Science for Integrated Diagnostics (AI2D) to query, organize, and analyze multi-institutional clinical and biological data to help develop and evaluate approaches and tools for learning healthcare systems. The Data Scientist will collaboratively study clinical practices and implement policies and interventions related to disease screening, population health, and decision science. The Data Scientist will also contribute to the development of novel computational and informatics methods and tools, including for training prediction models that are interpretable, transferable across clinical practices, and equitable. This individual will work closely with faculty and staff of the Departments of Pathology & Laboratory Medicine and Biostatistics, Epidemiology, and Informatics.

Job Description

Job Responsibilities

The University of Pennsylvania is seeking a Data Scientist to join the Center for AI and Data Science for Integrated Diagnostics (AI2D). The Data Scientist (Senior Data Analyst) will be responsible for querying, organizing, and analyzing multi-institutional clinical and biological data to help develop and evaluate approaches and tools for learning healthcare systems. They will collaboratively study clinical practices and implement policies and interventions related to disease screening, population health, and decision science. The Data Scientist will also contribute to the development of novel computational and informatics methods and tools, including for training prediction models that are interpretable, transferable across clinical practices, and equitable. This individual will work closely with faculty and staff of the Departments of Pathology & Laboratory Medicine and Biostatistics, Epidemiology, and Informatics. At its core, this position is about revolutionizing healthcare with data-driven practices to predict and ultimately prevent serious illness.

Qualifications

• Bachelor of Science and 4 years of experience or equivalent combination of education and experience required.
• Either M.S. degree in relevant technical field, e.g. Computer Science, Data Science, Biomedical Informatics, Bioinformatics, Biotechnology, Engineering, Mathematics, Statistics, or equivalent with 2 years of relevant work experience or PhD in relevant technical field preferred

• Fluency with conventional statistical and machine learning techniques such as logistic regression, decision trees, deep neural networks, clustering, and dimension reduction required
• Experience manipulating and analyzing complex, large volume, high-dimensionality data from varying sources required
• Fluency in coding in R and/or Python required
• Familiarity with reproducible scientific workflows (e.g. Jupyter notebooks or Rmarkdown) and version control (e.g. git) required
• Familiarity with Linux OS operating systems required
• A strong passion for empirical research and for answering hard questions with data required
• Ability to work independently and apply critical thinking and sound judgment required
• A flexible analytic approach that allows for results at varying levels of precision required
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner required
• Excellent organizational and time management skills required

• Experience with clinical or biomedical research preferred
• Experience with querying large databases preferred
• Experience with MLops preferred
• Ability to work with a software development team using formal software development methods preferred
• Experience as first author of scientific publications a plus
• Experience with high-performance or cloud computing a plus

Position is contingent upon continued funding.

Job Location - City, State
Philadelphia, Pennsylvania

Department / School
Perelman School of Medicine

Pay Range
$74,476.00 - $110,000.00 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/Medical-School-John-Morgan-Bldg/Senior-Data-Scientist--Department-of-Pathology-and-Laboratory-Medicine-_JR00085950-1







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