ML-Driven Omics Risk Predictor for Occupational Safety

Italian Ministry of Education, University and Research; Italia; On-site; EUR 32,000 - 52,000; Full time

Job summary

Dipartimento di Scienze biochimiche Alessandro Rossi Fanelli in Italy is seeking a researcher to advance ML methods for integrating omics and environmental data, identify biomarkers, and build predictive models for toxicological risk.

The role focuses on developing innovative ML approaches and applying statistical analysis, with emphasis on Python programming and data-driven research. Collaboration with cross-disciplinary teams is expected.

Qualifications

• Competencies in statistical data analysis and machine learning.
• Scientific programming in Python.

Responsibilities

• Design and apply ML strategies for integrating omics and environmental data.
• Develop predictive models for toxicological risk assessment.

Skills

Machine Learning

Statistical data analysis

Python programming

Tools

Python

Job description

Dipartimento di Scienze biochimiche Alessandro Rossi Fanelli in Italy is seeking a researcher to advance ML methods for integrating omics and environmental data, identify biomarkers, and build predictive models for toxicological risk.

The role focuses on developing innovative ML approaches and applying statistical analysis, with emphasis on Python programming and data-driven research. Collaboration with cross-disciplinary teams is expected.