Bioinformatics Data Analyst II – Cancer Research Modeling

Moffitt Cancer Center; Tampa (FL); On-site; USD 73,000 - 112,000; Full time

Benefits offered by this job

Annual Team Member Incentive

Team Merit Increase

Inclusive Benefits package

Job summary

Moffitt Cancer Center in Tampa, FL, is hiring a Research Data Analyst II for full-time work focused on building databases, preparing data for predictive modeling, and performing analyses that advance our cancer research projects.

The ideal candidate will have a strong foundation in engineering/physics concepts, proficiency in coding, and experience with high-performance computing in Unix environments. Join a mission-driven team advancing cancer science.

Qualifications

• Bachelor’s degree with 7 years of relevant experience.
• Master’s degree with 2 years of relevant experience.
• Experience programming in R, Python, SAS or similar statistical software.

Responsibilities

• Assist in database construction by searching PACS, downloading images, and performing QA checks.
• Support data analytics and predictive modeling including neural networks, deep learning, logistic regression, and large language models.
• Collaborate with study coordinators to extract and distill relevant information from medical records.
• Provide support across study objectives, ensuring continuity and depth in data handling and analysis.

Skills

Data analysis

Programming

High-performance computing

Unix

Neural networks

Machine learning

Team collaboration

Education

Bachelor's degree (Biostatistics/Bioinformatics/CS/Computational biology/EPID/Engineering/Physics)

Master's degree (Biostatistics/Bioinformatics/CS/Computational biology/EPID/Engineering/Physics)

Tools

R

Python

SAS

Unix

Job description

Moffitt Cancer Center in Tampa, FL, is hiring a Research Data Analyst II for full-time work focused on building databases, preparing data for predictive modeling, and performing analyses that advance our cancer research projects.

The ideal candidate will have a strong foundation in engineering/physics concepts, proficiency in coding, and experience with high-performance computing in Unix environments. Join a mission-driven team advancing cancer science.