Cancer ML Postdoc: Multi-Omics & Foundation Models

Moffitt Cancer Center Partnership

Tampa (FL)

Hybrid

USD 73,000 - 102,000

Part time

14 days+

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Benefits offered by this job

Medical coverage
Dental and Vision insurance
Paid time off
Retirement plan
Parental leave
Relocation assistance

Job summary

Moffitt Cancer Center Partnership in Tampa, FL seeks a talented Applied Machine Learning Postdoctoral Fellow to advance machine learning, AI, and molecular data science in cancer research. The role focuses on large-scale molecular, genomic, and clinical datasets to develop representation learning, foundation models, and predictive modeling.

Collaborate with clinicians and researchers, publish in leading venues, and contribute to grant development.

Qualifications

  • PhD or equivalent in a quantitative field relevant to ML/AI in biomedicine.
  • Strong publication record with first-author work preferred.
  • Experience with Python and PyTorch in ML/AI for biomedical data.

Responsibilities

  • Develop ML models for molecular and multi-omics data analysis.
  • Create scalable pipelines for molecular data integration and representation learning.
  • Collaborate with clinicians and researchers on translational cancer research projects.
  • Publish findings at scientific venues and contribute to grant proposals.

Skills

Python
PyTorch
Machine learning
Data mining
Self-supervised learning
Transformer architectures
Graph-based methods
Biomedical data science
Communication

Education

PhD in Computer Science
Biometrics/Bioinformatics/Computational biology

Tools

Python
PyTorch

Job description

Moffitt Cancer Center Partnership in Tampa, FL seeks a talented Applied Machine Learning Postdoctoral Fellow to advance machine learning, AI, and molecular data science in cancer research. The role focuses on large-scale molecular, genomic, and clinical datasets to develop representation learning, foundation models, and predictive modeling.

Collaborate with clinicians and researchers, publish in leading venues, and contribute to grant development.

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