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Research Data Analyst II Bioinformatics

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Moffitt Cancer Center
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 73 USD Hourly USD 73.00 HOUR
Job Description & How to Apply Below

The Research Data Analyst II position supports research initiatives at Moffitt Cancer Center in Tampa, FL by building and validating research databases, preparing data for predictive modeling, and performing analyses that uphold data integrity. The role also provides analytics support for predictive risk and diagnostic modeling and collaborates on extracting study-relevant information from medical records.

Location and Employment Details
  • Location: Tampa, FL (onsite)
  • Employment: Full-time
  • Experience level: 2 years minimum
Salary
  • Annual base pay range: USD 73,
  • Compensation note: Salary ranges represent the expected base pay range. Actual compensation may vary based on location and job-related factors, including experience, skills, education, and internal equity among team members in similar positions.
  • Pay practices: Moffitt Cancer Center maintains fair and equitable pay practices and regularly reviews compensation to align across the workforce.
Key Responsibilities
  • Assist with 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 using 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 to ensure continuity and depth in data handling and analysis.
Required Qualifications
  • Solid understanding of engineering and physics concepts
    .
  • Proficiency in computer coding
    .
  • Programming experience in R, Python, SAS
    , or another statistical software package under supervision of the PI.
  • Experience with high-performance computing and the Unix environment
    .
Preferred Experience
  • Familiarity with high-dimensional data wrangling and analysis techniques, including machine learning
    , image processing
    , and high-dimensional data visualization
    .
Technologies and Tools
  • R, Python, SAS
  • PACS
  • Neural networks, deep learning
  • Logistic regression
  • Large language models
  • Unix, high-performance computing
Education

Bachelor’s degree in one of the following:
Biostatistics, bioinformatics, computer science, computational biology, epidemiology, engineering.

Benefits
  • Eligible for an annual Team Member Incentive
  • Eligible for an annual Team Member Merit Increase
  • Inclusive benefits package covering Health, Financial, & Lifestyle
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