Location: Tampa, FL
Cap-Exempt H-1B Position — No lottery required
- Tampa, FL - Stabile Research Building (SRB) - Machine Learning-Staff - Full Time - Day Shift - Mon-Fri - Req #: 82846 Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 10,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work for in the Nation, a Digital Health Most Wired Organization and continually named one of the Tampa Bay Time’s Top Workplaces. A National Cancer Institute (NCI)-designated Comprehensive Cancer Center since 2001. **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 (https://galaxyproject.org/), the NHGRI AnVIL (https://anvilproject.org/) 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 (https://goeckslab.org/), 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 develop