Research Software Engineer
Listed on 2025-12-03
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Software Development
Machine Learning/ ML Engineer, Data Scientist, AI Engineer
Join to apply for the Research Software Engineer role at Moffitt Cancer Center
Join to apply for the Research Software Engineer role at Moffitt Cancer Center
Summary
We are looking for a motivated individual to develop open-source software for biomedical data science that will be used at the Moffitt Cancer Center and around the world. Key projects that this individual will contribute to include Galaxy ((Use the "Apply for this Job" box below).), the NHGRI AnVIL () data commons, and efforts to integrate internal Moffitt informatics platforms. An ideal fit for this position is an individual who is excited about developing great software for biomedicine, enjoys learning new technical skills, and excels in a collaborative environment.
Summary
We are looking for a motivated individual to develop open-source software for biomedical data science that will be used at the Moffitt Cancer Center and around the world. Key projects that this individual will contribute to include Galaxy (), the NHGRI AnVIL () data commons, and efforts to integrate internal Moffitt informatics platforms. An ideal fit for this position is an individual who is excited about developing great software for biomedicine, enjoys learning new technical skills, and excels in a collaborative environment.
This position is part of the Goecks Laboratory (), which is in the Departments of Machine Learning and Biostatistics and Bioinformatics at the Moffitt Cancer Center. The Goecks Laboratory develops data science methods and software tools to advance cancer research and patient care. Our areas of technical focus are computational infrastructure, cloud computing, and machine learning. Our areas of cancer research include precision oncology and spatial tumor analyses.
Position Highlights
- Contribute to software that will be used at Moffitt and across the world to help advance biomedical research.
- Opportunity to developing technical leadership skills by architecting and executing software development projects.
- Learn new technical skills in important topics such as machine learning, cloud computing, distributed computing, and data engineering.
- Work in a dynamic environment and collaborate with software engineers, data scientists, cancer biology researchers, and physicians.
The Ideal Candidate
- Expertise in the following areas: (1) software development; (2) analysis pipeline development; and (3) machine learning analyses. Expertise using software development and analysis skills in a scientific discipline is preferred.
- Experience using open-source software libraries for traditional machine learning and deep learning. Experience using commercial machine learning libraries, experiment tracking software, visualization and reporting software, and scaling libraries is preferred.
- Strong knowledge of the Python programming language plus experience in other programming languages such as R, Perl, C#, and Java. Knowledge of data structures, runtime analyses, and continuous integration preferred.
- Experience developing web-based and/or scientific software that includes several components and/or libraries, including a database. Experience developing open-source software is preferred.
- Enjoys working in a multidisciplinary and collaborative environment.
- Develop informatics software and analysis tools for machine learning analyses of genomic, clinical, and imaging datasets. (30%)
- Provide documentation and user support enabling computational researchers to access and use informatics software. (25%)
- Maintain well-curated, highly structured, transparent omics, imaging, or clinical data resources and databases suitable for machine learning. (20%)
- Develop software tools to integrate bioinformatics and machine learning software applications with data resources. (20%)
- Establish and maintain standards for structured software engineering, including requirements, design, code, test, quality, configuration & release management, and project management. (5%)
- Minimum of bachelor’s degree with two (2) years of software development.
- Preference given to software development experience in biomedical data analyses and machine learning applications.
If you have the vision, passion, and dedication to contribute to our mission,
then we have a place for you.
Interested applicants should attach a cover letter summarizing their software development experience and…
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