Biomedical ML Software Engineer - Open-Source Bioinformatics

Moffitt Cancer Center

Tampa (FL)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Moffitt Cancer Center in Tampa, FL seeks a Machine Learning Engineer to develop open-source software for biomedical data science used globally. You will build tools for machine learning on genomic, clinical, and imaging data, integrate with bioinformatics resources, and contribute to Galaxy and NHGRI AnVIL projects.

The ideal candidate has strong Python skills, experience with ML libraries, and a track record in software development for scientific research.

Qualifications

  • Bachelor's degree with software development experience; biomedical data analyses and ML preferred.
  • Strong Python and multiple programming languages; experience in a scientific setting helps.
  • Experience with open-source ML libraries, experiment tracking, and data visualization.

Responsibilities

  • Develop informatics software and analysis tools for ML analyses of genomic, clinical, and imaging data.
  • Provide documentation and user support enabling researchers to access informatics software.
  • Maintain structured data resources and databases suitable for machine learning.
  • Develop tools to integrate bioinformatics and ML software with data resources.
  • Establish and maintain standards for software engineering, testing, and release management.

Skills

Software development
ML analysis
Python
R
Java

Education

Bachelor's degree

Tools

Open-source ML libraries
Experiment tracking
Visualization tools
CI/CD
Databases

Job description

Moffitt Cancer Center in Tampa, FL seeks a Machine Learning Engineer to develop open-source software for biomedical data science used globally. You will build tools for machine learning on genomic, clinical, and imaging data, integrate with bioinformatics resources, and contribute to Galaxy and NHGRI AnVIL projects.

The ideal candidate has strong Python skills, experience with ML libraries, and a track record in software development for scientific research.

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