Cancer ML Postdoc: Molecular AI & Multimodal

Moffitt Cancer Center; United States; Presencial; USD 73.000 - 102.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive medical coverage

Dental and vision insurance

Generous paid time off

Retirement benefits

Parental leave

Relocation assistance

Descripción de la vacante

Moffitt Cancer Center in Tampa, Florida, is seeking a Postdoctoral Fellow to advance machine learning, AI, and molecular data science in cancer research. The role focuses on representation learning, foundation models, predictive modeling, and multimodal biomedical data, with opportunities for self-supervised learning and transformer-based approaches.

You will work in a world-class environment with access to large molecular and clinical datasets, mentoring from expert faculty, and potential for

Formación

• PhD or equivalent in Computer Science, Computer Engineering, Electrical Engineering, Biomedical Engineering, Mathematics, Statistics, Physics, Data Science, Computational Biology, or related quantitative discipline.
• Demonstrated research experience in machine learning, artificial intelligence, data science, computational biology, bioinformatics, or related fields.
• Strong publication record commensurate with career stage, including at least one first-author peer-reviewed publication, preprint, or equivalent research contribution.
• Experience with scientific programming and machine learning frameworks.
• Excellent written and verbal communication skills and ability to work effectively in a collaborative, interdisciplinary research environment.

Responsabilidades

• Develop novel machine learning models for molecular and multi-omics data analysis, representation learning, and predictive modeling.
• Develop methods for learning robust patient and molecular representations from large-scale genomic, transcriptomic, and other molecular profiling datasets.
• Design and implement scalable pipelines for molecular data integration, feature representation, and downstream machine learning applications.
• Investigate and apply advanced AI approaches, including foundation models, self-supervised learning, transformer architectures, graph-based methods, and other emerging machine learning techniques.
• Collaborate with researchers, clinicians, and data scientists on translational cancer research projects, scientific publications, and grant development.
• Present research findings at scientific meetings and contribute to the preparation of manuscripts, reports, and funding applications.

Conocimientos

Python

PyTorch

Machine learning

Data analysis

Research experience

Communication skills

Educación

PhD in Computer Science/Engineering or related field

Descripción del empleo

Moffitt Cancer Center in Tampa, Florida, is seeking a Postdoctoral Fellow to advance machine learning, AI, and molecular data science in cancer research. The role focuses on representation learning, foundation models, predictive modeling, and multimodal biomedical data, with opportunities for self-supervised learning and transformer-based approaches.

You will work in a world-class environment with access to large molecular and clinical datasets, mentoring from expert faculty, and potential for