Post-Doc for bioinformatics and mult-omics analysis in Biomedical research

jobRxiv; Italia; On-site; EUR 42,000 - 64,000; Full time

Job summary

The Institute for Biomedicine at Eurac Research in Bolzano, Italy, seeks a PhD-level researcher to analyze large-scale proteomics datasets and develop predictive models for health outcomes. The role involves collaboration with Charité – Universitätsmedizin Berlin and close work with senior researchers at both institutions.

You will preprocess mass spectrometry data, perform data normalization, and apply statistical and machine learning methods to identify protein markers of health states,

Qualifications

• PhD in Bioinformatics, Biostatistics, or Computational Biology is required.
• Experience with quantitative omics data analysis, preferably proteomics.
• Proficiency in R and/or Python for data analysis.
• Experience with reproducible research practices.
• Strong statistical modeling and machine learning knowledge.
• Excellent written and spoken English.
• Ability to work in a distributed, multidisciplinary team.

Responsibilities

• Preprocess large proteomics datasets generated by high-throughput mass spectrometry.
• Perform exploratory data analysis and data normalization.
• Conduct statistical analyses and apply machine learning to identify protein health markers.
• Disseminate results through publications and scientific events.

Skills

R

Python

Data analysis

Machine learning

Education

PhD in Bioinformatics/Biostatistics/Computational Biology

Tools

Mass spectrometry data processing

Job description

Institute for Biomedicine, Eurac Research, Bolzano, Italy

Organisation/Company Institute for Biomedicine, Eurac Research, Bolzano, Italy Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 30 Nov 2026 - 23:00 (UTC) Country Italy Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer 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.

• 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.

Number of offers available 1 Company/Institute Institute for Biomedicine, Eurac Research, Bolzano, Italy Country Italy