Data Scientist (Division of Biostatistics)

Company: University of Pennsylvania
Location: Philadelphia
Posted on: April 25, 2025

Job Description:

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 Scientist (Division of Biostatistics) Job Profile Title Job Description Summary The Penn Center for Causal Inference (CCI), within the Department of Biostatistics, Epidemiology and Informatics, is seeking a full-time Data Scientist to support a research team of faculty members, postdoctoral researchers, students, and external collaborators. The Data Scientist will be responsible for the management of healthcare databases and other complex databases, as well as for the development, maintenance, and documentation of code. This role will collect and extract data using a variety of data extraction tools (e.g., web-scraping, data mining). S/he will independently carry out data management, visualization, wrangling, and analysis tasks. The Data Scientist will assist faculty, staff, and/or other academic researchers with collaborative high-density data projects, providing organization of tasks and workflows for programmatic needs as well as troubleshoot issues and identify solutions. Job Description Job duties and responsibilities include, but are not limited to, the following:

• Lead the design, development, implementation, testing, deployment, documentation, and maintenance of machine learning algorithms, applications, analysis pipelines, and results reporting methodologies using R and SAS (including R functions and SAS macros for data management and analysis support), and occasionally Python & SQL.
• Develop and deploy data cleaning, data management, variable creation, and variable naming protocols for various research projects.
• Create, link, and maintain customized databases and analytic datasets in collaboration with PIs and other members of the center.
• Identify inefficiencies in the programming and data management infrastructure and advise the center director and other PIs on potential solutions and alternatives.
• Function as a resource for center members to help debug programs and to access correct data.
• Maintain knowledge of cutting-edge methods and best practices for leveraging data science tools and resources in order to assist PIs with development of data management standard operating procedures and policies.
• Visualize complex data by creating figures, tables, maps, and infographics for research projects.
• Perform advanced data analysis tasks for various academic research projects.
• Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful to planning and service design.
• Function as a resource for center members to help debug programs and to access correct data. Qualifications: Master's Degree in Statistics, Data Science, Computer Science, Mathematics, Informatics, or other health data related field with minimum 1 to 2 years of experience or an equivalent combination of education and experience required; PhD degree strongly preferred. Professional working experience with R, SAS and/or related software required; additional experience with Python preferred. Experience working with SQL required. Excellent written, verbal, and interpersonal communication, time management and efficiency skills are essential. The candidate should be highly organized with a strong attention to detail and accuracy. Experience collaborating with all levels of a research team and demonstrated team performance skills are a must. Position is contingent upon continued funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $100,000.00 - $120,000.00 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, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements
  Background checks may be 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. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay PandoLogic. Keywords: Data Scientist, Location: Philadelphia, PA - 19122 , PL: 597492542

Keywords: University of Pennsylvania, Philadelphia , Data Scientist (Division of Biostatistics), Other , Philadelphia, Pennsylvania