"Data Analyst C (Department of Neurosurgery)"

Job Details

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 C (Department of Neurosurgery)

Job Profile Title

Data Analyst C

Job Description Summary

The Cullen Lab is a dynamic, multidisciplinary research group focused on neural tissue engineering and neurotrauma. Data Analyst C will lead data analysis and computational modeling efforts across several active research programs. This individual prepares reports, dashboards, and visualizations for defined datasets. May occasionally support basic data science tasks such as pattern recognition or simple exploratory analysis.

Job Description

Job Responsibilities

Data Analysis & Computational Modeling

• Develop and manage end-to-end data analysis pipelines for imaging, electrophysiology, behavioral, and molecular datasets.
• Design and validate computational models to analyze neural network complexity using graph theory, dynamical systems, and machine learning approaches.
• Implement reproducibility standards: documentation, version control, quality checks, and data provenance.
• Create publication-ready visualizations and summary reports.

Experimental Design & Statistical Consultation

• Collaborate with investigators on experimental design, power calculations, and data interpretation.
• Provide statistical consultation for ongoing and planned studies.
• Ensure all analyses align with sponsor and institutional rigor standards.

Project Management & Coordination

• Coordinate research deliverables, milestones, and documentation across multidisciplinary teams.
• Maintain data integrity and project alignment across collaborators.
• Support grant preparation and reporting by providing quantitative input and figures.

Scientific Communication

• Contribute analytical sections, figures, and methods to manuscripts, presentations, and proposals.
• Communicate results clearly to both technical and non-technical audiences.

Qualifications

• Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required.

Position contingent upon funding.

Job Location - City, State

Philadelphia, Pennsylvania

Department / School

Perelman School of Medicine

Pay Range

$61,000.00 - $76,000.00 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.