Multimodal Biomedical Data Analyst – Translational Research

Upenn; Philadelphia, Northern (Philadelphia County, KY); Hybrid; USD 62,000 - 80,000; Full time

Benefits offered by this job

Health insurance

Tuition benefits

Retirement plans

Time away from work

Wellness resources

Job summary

The University of Pennsylvania - Perelman School of Medicine is seeking a Data Analyst to process, harmonize, and QC multimodal biomedical data spanning imaging, electrophysiology, and clinical measures. The role involves building computational workflows in Python and R and performing statistical analyses to derive actionable insights.

You will collaborate with clinicians, engineers, and researchers to support translational studies and publish figures and manuscripts.

Qualifications

• Bachelor’s degree in a quantitative field and 2–3 years of experience.
• Strong programming in Python and/or R.
• Experience with biomedical datasets and data visualization.

Responsibilities

• Perform processing, organization, harmonization, and quality control of multimodal biomedical datasets.
• Develop and maintain computational workflows and analytical pipelines using Python and R.
• Conduct statistical analyses and data visualization to extract meaningful insights from high-dimensional datasets.
• Assist with multimodal data integration, database management, and data standardization across studies.
• Collaborate with clinicians, engineers, data scientists, and coordinators.
• Prepare figures, reports, presentations, and manuscripts for dissemination.
• Support development of reproducible and scalable research infrastructure for translational studies.

Skills

Python

R

Data visualization

Statistical analysis

Biomedical data

Education

Bachelor’s degree in quantitative field

Job description

The University of Pennsylvania - Perelman School of Medicine is seeking a Data Analyst to process, harmonize, and QC multimodal biomedical data spanning imaging, electrophysiology, and clinical measures. The role involves building computational workflows in Python and R and performing statistical analyses to derive actionable insights.

You will collaborate with clinicians, engineers, and researchers to support translational studies and publish figures and manuscripts.