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

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 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.

The successful candidate will join the HEALTH3P team, and will process and analyze large-scale mass spectrometry-based proteomics datasets [2,3] to investigate molecular signatures for health and health trajectories and to develop predictive models for health outcomes. The work is a close collaboration with Charité - Universitätsmedizin Berlin. The candidate will work together with senior researchers at both IfB and Charité.

[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 €.
• 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.