Bioinformatics Engineer: Build Cancer Data Visualization

Chan Soon-Shiong Institute of Molecular Medicine at Windber; Windber (PA); On-site; USD 95,000 - 140,000; Full time

Job summary

Chan Soon-Shiong Institute of Molecular Medicine at Windber seeks a Bioinformatics Engineer to support cancer research and data-driven discovery. This role bridges Bioinformatics and Biomedical Informatics Infrastructure, developing, deploying, and integrating experimental data into software platforms for visualization and large-scale cancer datasets analysis.

The candidate will design tools, collaborate across departments, and contribute to translational research, with emphasis on software

Qualifications

• Master’s degree or higher in a relevant field.
• Minimum 4 years of experience with genomic and other biological data.
• Strong understanding of bioinformatics concepts and software development.

Responsibilities

• Develop, deploy, and integrate experimental data into software applications for visualization and analysis of large cancer datasets.
• Design and maintain software tools for bioinformatics research and institute operations.
• Work across departments to support daily operations and research initiatives.
• Collaborate with supervisors, peers, and end users to deliver effective solutions.
• Contribute to advancement of bioinformatics and biomedical informatics research at the institute.

Skills

C#

Python

R

JavaScript

SQL

Data visualization

Education

Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences/Molecular Biology, or related technical field

Tools

cBioPortal

Job description

Chan Soon-Shiong Institute of Molecular Medicine at Windber seeks a Bioinformatics Engineer to support cancer research and data-driven discovery. This role bridges Bioinformatics and Biomedical Informatics Infrastructure, developing, deploying, and integrating experimental data into software platforms for visualization and large-scale cancer datasets analysis.

The candidate will design tools, collaborate across departments, and contribute to translational research, with emphasis on software