Cancer ML Postdoc: Multimodal AI for Precision Medicine

Moffitt Cancer Center; Tampa (FL); Híbrido; USD 73.000 - 102.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental insurance

Vision insurance

Paid time off

Relocation assistance

Parental leave

Descripción de la vacante

Moffitt Cancer Center in Tampa, FL, invites applications for an Applied Machine Learning Postdoctoral Fellow in the Rasool lab. The role focuses on machine learning, AI, and molecular data science, handling large-scale genomic and clinical data to build predictive models and representations.

Candidates should have a PhD in a quantitative field, strong Python and PyTorch experience, and a track record of research publications.

Formación

• PhD or equivalent degree in computer science, engineering, data science, or related quantitative discipline.
• Strong publication record commensurate with career stage.
• Experience with scientific programming and ML frameworks.
• Excellent written and verbal communication and collaboration skills.

Responsabilidades

• Develop novel ML models for molecular and multi-omics data analysis.
• Learn robust patient and molecular representations from large datasets.
• Design scalable pipelines for molecular data integration and modeling.
• Apply foundation models, self-supervised learning, transformers, and graph-based methods.
• Collaborate with researchers and clinicians on translational cancer research and grants.

Conocimientos

Python

PyTorch

Machine learning

Deep learning

Artificial intelligence

Data mining

Statistical modeling

Educación

PhD or equivalent in a quantitative field

Descripción del empleo

Moffitt Cancer Center in Tampa, FL, invites applications for an Applied Machine Learning Postdoctoral Fellow in the Rasool lab. The role focuses on machine learning, AI, and molecular data science, handling large-scale genomic and clinical data to build predictive models and representations.

Candidates should have a PhD in a quantitative field, strong Python and PyTorch experience, and a track record of research publications.