Lung Cancer ML & Stats Research Associate

The Chronicle Of Higher Education, Inc.; Melbourne (FL); On-site; USD 90,000 - 125,000; Full time

Job summary

Florida Institute of Technology in Melbourne, FL, invites applications for a researcher to advance statistics, data analytics, and machine learning with a focus on multimodal data fusion for biomedical risk assessment.

The successful candidate will hold a Ph.D. in a related field, lead collaborative projects, and contribute to grant proposals and dissemination of results through journals and conferences.

Qualifications

• Ph.D. required in statistics, computer science, computer engineering, biomedical engineering, or related fields.
• Strong expertise in statistics, machine learning, and biomedical data analysis.
• Ability to develop innovative research methodologies and work in multidisciplinary environments.
• Experience contributing to proposal development, technical reports, and dissemination of findings.

Responsibilities

• Conduct advanced research in statistics, data analytics, and machine learning with emphasis on multimodal data fusion and predictive modeling for biomedical applications.
• Develop and evaluate statistical and AI-based methods for feature selection, biomarker identification, and risk prediction.
• Collaborate with faculty, investigators, and external partners; assist in grant proposals and technical reports; disseminate findings through high-impact journals and conferences.

Skills

Statistics

Machine learning

Biomedical data analysis

Leadership

Communication

Education

Ph.D. in statistics, computer science, computer engineering, biomedical engineering, or related fields

Job description

Florida Institute of Technology in Melbourne, FL, invites applications for a researcher to advance statistics, data analytics, and machine learning with a focus on multimodal data fusion for biomedical risk assessment.

The successful candidate will hold a Ph.D. in a related field, lead collaborative projects, and contribute to grant proposals and dissemination of results through journals and conferences.