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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 Employers By State in 2021.
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.
COVID-19 vaccination is a requirement for all positions at the University of Pennsylvania. New hires are expected to be fully vaccinated before beginning work at the University. For more information about Penn's vaccine requirements and the use of Penn Open Pass, visit the Penn COVID-19 Response website for the latest information.Posted Job TitleBiostatistician (Department of Radiology)Job Profile TitleBiostatisticianJob Description SummaryThe Department of Radiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Biostatistician position. Expertise is required in the specific area of statistics, biostatistics, mathematics, computer science, data science, or related field. Experience in statistical modeling for cancer-related research studies is preferred. Ideal expertise should also include experience in imaging research studies and specifically in the evaluation of medical imaging measurements (e.g., x-ray/CT/MRI) as cancer biomarkers. The ideal applicant should also have prior experience in conceptualizing study designs and implementing statistical analyses, conducting analyses for multi-disciplinary and collaborative research studies, and a track record of co-authored peer-reviewed research publications.Job Description
The Department of Radiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Biostatistician position. Expertise is required in the specific area of statistics, biostatistics, mathematics, computer science, data science, or related field. Experience in statistical modeling for cancer-related research studies is preferred. Ideal expertise should also include experience in imaging research studies and specifically in the evaluation of medical imaging measurements (e.g., x-ray/CT/MRI) as cancer biomarkers. The ideal applicant should also have prior experience in conceptualizing study designs and implementing statistical analyses, conducting analyses for multi-disciplinary and collaborative research studies, and a track record of co-authored peer-reviewed research publications.
Responsibilities include collaborating with faculty and trainees (e.g., graduate students, postdoc) on the data-related aspects of research projects to design, implement, analyze, and disseminate related statistical analyses. These responsibilities will include consulting on research study designs, including sample size calculations, power analysis computation, data management, statistical analysis, and presentation of results in preparation for research publications. Identifying and addressing potential research issues and suggesting alternative statistical designs and modeling techniques. Ensure the appropriate study design is implemented, especially when guiding analyses conducted by research trainees, evaluating quality of data, and applying appropriate statistical methods to provide an accurate interpretation of collected data to researchers. Data may be required to be imported/exported from/to various statistical software, including REDCap, Qualtrics, Excel, into Statistical Analysis Software (SAS), R, Python, and/or Matlab, including writing custom programs to import/export data and conduct data analysis using SAS, STATA, R, and other current programming codes. The successful applicant will contribute to the long-term goals of our Department's cancer imaging research program, including designing and implementing experiments; managing and meeting research project deliverables related to statistical analyses, taking the lead in producing peer-reviewed publications, contributing to research grant applications; guiding research trainees, including graduate students and postdocs, on conducting statistical analyses.
This position offers an opportunity to participate in cutting-edge collaborative multi-disciplinary projects in the Radiology department as well as the departments of pathology, oncology, genetics, biostatistics, informatics, and epidemiology. The successful applicant will be a member of the Computational Biomarker Imaging Group (CBIG), a research group in the Center for Biomedical Image Computing and Analytics (CBICA) of the Department of Radiology, with a vision is to act as a translational catalyst between computational imaging science and clinical cancer research by integrating image analysis, machine learning and AI in clinically relevant cancer imaging applications. CBIG collaborates with faculty in the University of Pennsylvania Abramson Cancer Center (ACC), the Institute for Biomedical Informatics (IBI), and the Center for Clinical Epidemiology and Biostatistics (CCEB). In addition, collaborators across different institutions include a range of experts in informatics, medical physics, radiology, radiation oncology, genetics, pathology, oncology, biostatistics, and epidemiology.
We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/Women/Individuals with disabilities/protected veterans are encouraged to apply.
Position contingent upon funding.
REQUIREMENTS: Master's Degree in Statistics, Biostatistics, Epidemiology Data Science, Computer Science, or related field and 3-5 years of related (analytic) experience or equivalent combination of education and experience required. Must have applied knowledge of the following gained through professional experience or graduate coursework and/or research projects: (i) statistical programming using SAS, R, or STATA for data manipulation, graphing, and modeling; (ii) statistical modeling using linear, logistic, Poisson, fixed effects, and mixed-effects regression with time series, categorical, cross-sectional, panel, and multilevel data; (iii) conducting survival analysis; and (iv) designing and conducting quantitative studies, including reviewing academic literature, identifying research questions and hypotheses, justifying statistical methods, implementing methodologies, and interpreting findings. Ideal qualifications should also include prior experience in imaging research studies, and specifically in the evaluation of medical imaging measurements (e.g., x-ray/CT/MRI) as cancer biomarkers. Prior experience in scientific writing and editing is a plus.Job Location - City, StatePhiladelphia, PennsylvaniaDepartment / SchoolPerelman School of MedicinePay Range$61,046.00 - $95,972.00
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.
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
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.
To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
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