Open-Source Biomedical ML Engineer for Cancer Research Tools

CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc.; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

Moffitt Cancer Center in Tampa, FL invites applications for a Machine Learning Engineer to advance cancer research through software tools and data science methods. Join the Goecks Laboratory within the Dept.

of Machine Learning and Biostatistics & Bioinformatics to build scalable analytics platforms. Ideal candidates combine strong Python expertise, ML/DL experience, and a collaborative mindset to contribute to cloud-based and on-premises infrastructures that support precision oncology and

Qualifications

• Bachelor’s degree in a relevant field and software development experience.
• Experience with open-source software libraries for ML and deep learning.
• Proficiency in Python and knowledge of other languages (R, Perl, C#, Java).

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 structured data resources and databases suitable for machine learning. (20%)
• Develop software tools to integrate bioinformatics and machine learning software with data resources. (20%)
• Establish and maintain standards for structured software engineering and project management. (5%)

Skills

Python

Machine Learning

Deep Learning

Software Development

Cloud Computing

Data Analysis

CI/CD

Web-based Software

Education

Bachelor’s degree in Computer Science or related field

Tools

Galaxy

NHGRI AnVIL

Git

Docker

Kubernetes

SQL

Job description

Moffitt Cancer Center in Tampa, FL invites applications for a Machine Learning Engineer to advance cancer research through software tools and data science methods. Join the Goecks Laboratory within the Dept.

of Machine Learning and Biostatistics & Bioinformatics to build scalable analytics platforms. Ideal candidates combine strong Python expertise, ML/DL experience, and a collaborative mindset to contribute to cloud-based and on-premises infrastructures that support precision oncology and