Postdoc in Proteomics & Multi-Omics Data Science

Eurac Research; Italy; On-site; EUR 45,000 - 47,000; Full time

Job summary

The Eurac Research Institute for Biomedicine (IfB) in Bolzano invites a Postdoc to join the HEALTH3P team. You will process and analyze large-scale mass spectrometry proteomics datasets to investigate molecular signatures and health trajectories, and develop predictive models for health outcomes in collaboration with Charité – Universitätsmedizin Berlin.

Responsibilities include data preprocessing of large proteomics datasets, exploratory data analysis and normalization, and applying statistics

Qualifications

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

Responsibilities

• Data preprocessing of a large proteomics data set generated by high-throughput mass spectrometry.
• Exploratory data analysis and data normalization.
• Perform statistical data analysis and apply machine learning to identify protein markers characteristic of health states and trajectories.

Skills

R & Python

Mass spectrometry data analysis

Omics data analysis

Machine learning

Education

PhD in Bioinformatics, Biostatistics, or Computational Biology

Tools

R

Python

Job description

The Eurac Research Institute for Biomedicine (IfB) in Bolzano invites a Postdoc to join the HEALTH3P team. You will process and analyze large-scale mass spectrometry proteomics datasets to investigate molecular signatures and health trajectories, and develop predictive models for health outcomes in collaboration with Charité – Universitätsmedizin Berlin.

Responsibilities include data preprocessing of large proteomics datasets, exploratory data analysis and normalization, and applying statistics