Post-Doc Researcher for bioinformatics and multi-omics data analysis in Biomedical research

Institute for Biomedicine – Eurac Research; Bolzano; Vor Ort; EUR 45.000 - 47.000; Vollzeit

Benefits dieser Stelle

Welfare package

International research environment

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Omics data analysis

Mass spectrometry proteomics

Machine learning

Reproducible research practices

Ausbildung

PhD in Bioinformatics/Biostatistics/Computational Biology

Tools

R

Python

Jobbeschreibung

Institute for Biomedicine

The Eurac Research Institute for Biomedicine (IfB) located at Bolzano's NOI Techpark, is dedicated to improving human health through precision prevention research. The interdisciplinary work is focused on the investigation of genetic, biological, environmental and lifestyle factors in order to predict, slow or prevent human disease. The institute established the CHRIS population study [1], a decade-long collaboration with the South Tyrolean Healthcare Service, providing extensive data and biological materials suitable for such research. The IfB employs state-of-the-art labs, scientific computing resources and interdisciplinary expertise dedicated to the investigation of neurological, cardiovascular, and metabolic health. Within the HEALTH3P initiative, conducted jointly with Charité – Universitätsmedizin Berlin (Prof. Dr. Markus Ralser, Biochemistry and Systems Biology of Metabolism Group and Prof. Dr. Britta Siegmund, Department of Gastroenterology, Infectious Diseases and Rheumatology) we are investigating molecular markers for health in the population, with a focus on cardiovascular, kidney and metabolic health. HEALTH3P represents a foundational step in a broader partnership dedicated to investigate the active processes maintaining health and to develop precision-based approaches for disease prevention.

[1] https://doi.org/10.1093/ije/dyaf064
[2] https://doi.org/10.1038/s41587-021-00860-4
[3] https://doi.org/10.1038/s43856-025-00856-0

Tasks

• 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.
• Dissemination of scientific results through scientific publications and contributions to scientific events.

Requirements

• PhD in a relevant field of research (Bioinformatics, Biostatistics, or Computational Biology), with typically 0–3 years of relevant postdoctoral experience at the time of appointment.
• Experience in the analysis, quality assessment and normalization of quantitative omics data, preferentially mass spectrometry proteomics.
• Extensive experience in data analysis with R and/or Python.
• Experience in reproducible research.
• Knowledge in statistical data modeling, multiple regression analysis and machine learning.
• Proactivity and the ability to solve problems independently.
• Ability to work in a distributed, multidisciplinary research environment.
• Excellent written and oral communication skills in English.

We offer

• Up to three-year full-time position.
• Gross annual salary ranging from 44.914,14 € to 47.272,98 €.
• Workplace location: Eurac Research, NOI Techpark, Via A. Volta 21, 39100 Bolzano, Italy.
• Benefits and work-life balance: Eurac Research offers a welfare package designed to support employees’ well-being and work-life balance, contributing to a positive and inclusive working experience in an international research environment. The full and regularly updated list of benefits is available here.
• Access to unique health and omics data from the CHRIS population study.
• Collaboration with multidisciplinary international scientists.
• Close collaboration and regular interactions with partners at Charité – Universitätsmedizin Berlin.

Employment conditions

• Employment classification and applicable collective agreement: II level of the Italian National Collective Labour Agreement for the Tertiary/Commerce Sector
• Gross Annual Salary range: the gross annual salary range is primarily linked to the advertised position, its requirements and expected level, and is defined according to Eurac Research’s internal remuneration framework. The candidate’s highest academic degree and any relevant professional experience documented in the CV are taken into account where applicable, but always within the salary range defined for the advertised position. The range also reflects whether the position is full-time or part-time.