Bioinformatics Data Analyst II: Predictive Modeling (Hybrid)

Moffitt; Tampa (FL); Hybrid; USD 73,000 - 112,000; Full time

Benefits offered by this job

Annual incentive

Merit increase

Inclusive benefits

Job summary

Moffitt Research Center in Tampa, FL is seeking a Research Data Analyst II in bioinformatics for building databases, preparing data for predictive modeling, and performing analyses to drive cancer research projects.

The role requires experience in coding (R, Python, SAS), HPC, and working with medical records data, with a strong foundation in engineering or physics concepts and a bachelor’s or master’s degree.

Qualifications

• Bachelor’s or Master’s degree in Biostatistics, bioinformatics, computer science, computational biology, epidemiology, engineering, physics, or related field with required years of experience.
• Experience programming in R, Python, SAS, or similar statistical software under supervision of the PI.
• Experience in high-performance computing and the Unix environment.

Responsibilities

• Assist in database construction by searching PACS, downloading images, and performing quality assurance checks.
• Support data analytics and contribute to predictive risk and diagnostic modeling, including work with 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

Coding

Engineering concepts

Physics concepts

Education

Bachelor’s degree + 7y exp

Master’s degree + 2y exp

Tools

R

Python

SAS

High-performance computing

Job description

Moffitt Research Center in Tampa, FL is seeking a Research Data Analyst II in bioinformatics for building databases, preparing data for predictive modeling, and performing analyses to drive cancer research projects.

The role requires experience in coding (R, Python, SAS), HPC, and working with medical records data, with a strong foundation in engineering or physics concepts and a bachelor’s or master’s degree.