Postdoc: Proteomics Data Scientist for Health Trajectories

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

Benefits offered by this job

Welfare package

International research environment

Job summary

Institute for Biomedicine at Eurac Research in Bolzano conducts precision prevention research to understand genetic, environmental and lifestyle factors shaping health. It runs the CHRIS population study, collaborates with Charité Berlin, and uses high-throughput proteomics to identify health markers.

The position involves data preprocessing, statistical analysis and ML modeling in a truly interdisciplinary, international team, with a strong emphasis on reproducible research and scientific

Qualifications

• PhD in a relevant field (Bioinformatics, Biostatistics, or Computational Biology).
• Experience in analysis, quality assessment and normalization of quantitative omics data, preferably mass spectrometry proteomics.
• Extensive experience in data analysis with R and/or Python.
• Experience in reproducible research.
• Knowledge in statistical data modeling, multiple regression and machine learning.
• Proactive and able to solve problems independently.
• Able to work in a distributed, multidisciplinary research environment.
• Excellent written and oral English.

Responsibilities

• Data preprocessing of large proteomics datasets generated by high-throughput mass spectrometry.
• Exploratory data analysis and data normalization.
• Perform statistical data analysis and apply machine learning to identify protein markers of health states and trajectories.
• Dissemination of scientific results through publications and scientific events.

Skills

Omics data analysis

Mass spectrometry proteomics

Machine learning

Reproducible research practices

Education

PhD in Bioinformatics/Biostatistics/Computational Biology

Tools

R

Python

Job description

Institute for Biomedicine at Eurac Research in Bolzano conducts precision prevention research to understand genetic, environmental and lifestyle factors shaping health. It runs the CHRIS population study, collaborates with Charité Berlin, and uses high-throughput proteomics to identify health markers.

The position involves data preprocessing, statistical analysis and ML modeling in a truly interdisciplinary, international team, with a strong emphasis on reproducible research and scientific