Postdoc: Proteomics & Multi-Omics Data Analysis

Institute for Biomedicine – Eurac Research; Trentino-Alto Adige; On-site; EUR 45,000 - 47,000; Full time

Benefits offered by this job

Welfare package

Health data access

International environment

Collaboration with Charité Berlin

Job summary

The Institute for Biomedicine – Eurac Research in Bolzano invites applications for a postdoctoral researcher to analyze large-scale mass spectrometry proteomics data and develop predictive models for health trajectories.

The successful candidate will collaborate with the HEALTH3P team and Charité - Universitätsmedizin Berlin, performing data preprocessing, exploratory analysis, and advanced statistical modeling in an international research setting.

Qualifications

• PhD in Bioinformatics, Biostatistics or Computational Biology.
• Experience in analysis and normalization of quantitative omics data, preferably proteomics.
• Extensive experience with R and/or Python.
• Experience in reproducible research.
• Knowledge of statistical data modeling and machine learning.
• Excellent written and oral English communication.

Responsibilities

• Data preprocessing of large proteomics datasets from high-throughput mass spectrometry.
• Exploratory data analysis and data normalization.
• Statistical analysis and applying machine learning to identify health markers.
• Dissemination of results through publications and presentations.

Skills

R

Python

omics data analysis

reproducible research

statistical modelling

machine learning

English communication

independent problem solving

Education

PhD in Bioinformatics/Biostatistics/Computational Biology

Tools

R

Python

Job description

The Institute for Biomedicine – Eurac Research in Bolzano invites applications for a postdoctoral researcher to analyze large-scale mass spectrometry proteomics data and develop predictive models for health trajectories.

The successful candidate will collaborate with the HEALTH3P team and Charité - Universitätsmedizin Berlin, performing data preprocessing, exploratory analysis, and advanced statistical modeling in an international research setting.