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Research Software Engineer

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Moffitt Cancer Center
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Data Scientist, Software Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: RESEARCH SOFTWARE ENGINEER

Join to apply for the RESEARCH SOFTWARE ENGINEER role at Moffitt Cancer Center

Summary

The Biostatistics & Bioinformatics Shared Resource (BBSR) is seeking a Research Software Engineer to support cancer research by developing reliable, scalable, and reproducible tools. BBSR is a multidisciplinary group that includes statisticians, bioinformaticians, informaticians, and data scientists who work collaboratively with investigators across Moffitt Cancer Center. The team provides expertise in study design, complex data analysis, data management and integration, and development of computational and data visualization tools for research projects, grant applications, and clinical trials.

The Research Software Engineer works independently to design, analyze, architect, build, and test software solutions focused on biological and medical data, and research participant-facing mobile applications. This role offers opportunities to develop applications that directly support scientific discovery and grant development. The position spans the full software development lifecycle and involves close collaboration with a wide range of scientific and technical stakeholders.

Position

Highlights
  • Build cutting-edge informatics pipelines and database solutions for large-scale research data.
  • Develop software applications to process and integrate omics datasets.
  • Create visualization tools that reveal insights from big data.
  • Design and optimize databases and platforms for seamless access and annotation.
  • Develop front-end and back-end solutions for mobile and web applications.
The Ideal Candidate
  • Will have a minimum of 5 years of experience in software development lifecycle (SDLC), software architecture, and database design. Alternatively, 2 years of experience with a Master’s degree in a relevant field.
  • Strong preference for experience in mobile development and distributed computing.
  • Previous experience working in healthcare environments is highly desirable.
  • In-depth knowledge of healthcare data, particularly oncology-related data, is strongly preferred.
  • Familiarity with public health policy, healthcare operations, and HIPAA compliance is considered a valuable asset.
Responsibilities
  • Shape the Future:
    Design and build innovative web and backend applications using the latest frameworks and APIs, directly supporting breakthroughs in cancer research.
  • Engineer Data Excellence:
    Architect and manage secure, high-performance databases—your work will ensure data integrity and power discoveries that matter.
  • Drive Automation & Reliability:
    Lead the way in automating deployments and optimizing cloud infrastructure, ensuring our research tools are always reliable and ready for the next challenge.
  • Champion Security:
    Safeguard sensitive data and research by implementing best-in-class security practices and proactively resolving technical issues.
  • Collaborate for Impact:
    Partner with world‑class scientists, clinicians, and technical teams to deliver solutions that accelerate scientific progress.
  • Innovate Relentlessly:
    Set the standard for coding excellence, conduct regular audits, and continuously adopt emerging technologies to keep our research at the cutting edge.
Credentials And Qualifications
  • Bachelor’s in computer science/engineering, bioinformatics, information systems, or health informatics or relevant field with four (4) years of experience, including expertise in the software development lifecycle (SDLC), software architecture, and database design.
  • Strong programming proficiency in design patterns, Java, C, C++, object-oriented design, XML, JavaScript, JSON, REST APIs, and both SQL and No

    SQL database development.
  • Experience with R and/or Python for data integration, particularly with bioinformatics platforms.
  • Proficiency in version control systems and adherence to coding standards.
  • Hands‑on experience with virtual machines and Docker containers for application deployment.
  • System Administration & Operating Systems:
    • Experience in systems administration across various platforms.
    • Familiarity with Linux, macOS, and Windows operating systems, including working in high performance computing (HPC) environments.
  • Cloud Computing & Microservices:
    • Knowledge of…
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