Software Engineer

Software Engineer/Data Infrastructure Specialist for Precision Neuro-Oncology Research

(University of Cincinnati Medical Center, Department of Neurosurgery)

We are seeking a highly motivated software engineer or data infrastructure specialist to lead the development and day-to-day management of a multimodal clinical research database supporting innovative work in precision neuro-oncology, computational pathology, and predictive analytics. This individual will play a critical role in building the infrastructure needed to integrate clinical, imaging, and pathology data into a scalable research platform designed to support translational advances in brain tumor diagnosis, treatment prediction, and outcomes research.

Responsibilities

• Develop, deploy, and maintain scalable database infrastructure for multimodal neuro-oncology research datasets

• Design and implement automated pipelines for data acquisition, organization, and de-identification from clinical data systems (such as EPIC/Clarity)

• Develop infrastructure for handling DICOM imaging data, including automated processing workflows

• Build and manage integration with clinical data capture platforms (such as REDCap)

• Collaborate with research personnel to support 3D tumor segmentation, radiomic feature extraction, and multimodal data integration

• Ensure the integrity, organization, and long-term scalability of the research database environment

Preferred Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Biomedical Engineering, Data Engineering, or a related field

• Strong programming experience in Python

• Familiarity with REDCap API integration, database design, and pipeline automation

• Familiarity with medical imaging workflows

• Ability to work independently on long-term infrastructure development projects

• Experience with containerized workflows, cloud computing, or research computing environments is a plus

Ideal Candidate Profile

This role is ideal for an engineer who enjoys building robust research infrastructure and understands that impactful translational science depends on well-designed systems. While the long-term goals of the platform include machine learning, predictive modeling, and advanced imaging analytics, the initial focus of this role will be on data architecture, workflow automation, and infrastructure development. A successful candidate will be comfortable prioritizing sustainable backend development that enables future innovation across precision neuro-oncology research initiatives.

Pay: $100,000.00 per year

Benefits:

• Dental insurance
• Disability insurance
• Health insurance
• Life insurance
• Retirement plan
• Vision insurance

Work Location: In person