Research Software Engineer

• Schedule - Shift - Hours Full Time - Day Shift - Mon-Fri

At Moffitt Cancer Center, we strive to be the leader in understanding the complexity of cancer and applying these insights to contribute to the prevention and cure of cancer. Our diverse team of over 9,000 are dedicated to serving our patients and creating a workspace where every individual is recognized and appreciated. For this reason, Moffitt has been recognized on the 2023 Forbes list of America’s Best Large Employers and America’s Best Employers for Women, Computerworld magazine’s list of 100 Best Places to Work in Information Technology, Diversity Inc Top Hospitals & Health Systems and continually named one of the Tampa Bay Time’s Top Workplace.

Additionally, Moffitt is proud to have earned the prestigious Magnet® designation in recognition of its nursing excellence.

Moffitt is a National Cancer Institute-designated Comprehensive Cancer Center based in Florida, and the leading cancer hospital in both Florida and the Southeast. We are a top 10 nationally ranked cancer center by Newsweek and have been nationally ranked by U.S. News & World Report since 1999.
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join our committed team and help shape the future we envision.

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.

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.

Responsibilities:

• 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…