XenOmics – An Innovative Risk Assessment Toolkit Based on Omics Methodologies and Artificial Intelligence 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

Organisation/Company Dipartimento di Scienze biochimiche Alessandro Rossi Fanelli Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 15 Nov 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The research aims to study Machine Learning (ML) strategies for the integration of omics and environmental data, the identification of potential biomarkers, and the development of a predictive model for toxicological risk

• Other qualifications related to the activity performed, such as research/work contracts, scholarships or fellowships, and official assignments: up to 25 points
• Interview: up to 40 points

• Italy

Eligibility of fellows: country/ies of residence:

• EUROPE

Eligibility of fellows: nationality/ies:

• EUROPE

Selection process

The interview will center on verifying the candidate's competencies in statistical data analysis and machine learning, alongside scientific programming in Python.