Build the science that shapes the future of human health.

Application closing date: 16.04.2026

Join a place where ambitious science thrives

Human Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health.

We are looking for a Postdoc in the research group of Prof. Nicole Soranzo, the Head of the Genomics Research Centre. The laboratory is focused on developing and deploying large-scale genomics technologies to understand various facets of genetic predisposition to common complex diseases and disease biology in human populations. We focus on blood and immunity and a broad set of human genetics questions.

Your mission:

Drive cutting-edge research to uncover the genetic basis of common diseases across diverse populations, with a strong focus on Southern European and Italian cohorts.

You will analyse and integrate large-scale genomic and multi-omic datasets to characterise disease risk across the life course, applying advanced computational and statistical approaches, including polygenic risk modelling.

Working at the intersection of population genomics, disease biology, and data science, you will contribute to decoding complex genomic regions and linking genetic variation to molecular and immune-related mechanisms of disease.

As part of a highly collaborative and international environment, you will play a key role in advancing precision medicine through large-scale, interdisciplinary research initiatives.

Grow your skills
You will enhance your scientific and professional skills by:

• Develop and implement a research project leveraging advances in human genomics and computational approaches to investigate the genetic architecture of complex diseases in large-scale population cohorts;
• Manage experimental and analytical workflows within their project;
• Implement, benchmark and run long-read sequencing/pangenome workflows and pipelines;
• Generate reliable data for publication in their project and recording all data and results in specified forms (paper and electronic);
• Publish reproducible research;
• Supervise master’s and PhD students;
• Present, share and discuss research results within their group, collaborators and scientific conferences;
• Proactive interaction with the research team, the Genome Analysis Unit, the Biostatistics Unit and the Genomics Facility

Job requirements

Essential

• PhD in Genomics, Bioinformatics, Computational Biology, Genetics or related fields;
• Extensive experience working with large-scale human genetics and population-based cohort data;
• Experience in analysing genotyping and whole-genome sequencing datasets;
• Strong experience working with genomic data in a HPC environment;
• Proven scientific track record, such as publications in journals or conferences;
• Advanced programming skills in scripting (e.g. R/Python);
• Fluency in English – HT is an international research institute.

Preferred

• Previous experience in large-scale population genomics analyses, including genome-wide association studies (GWAS), polygenic risk score modelling, and integration of genomic data with clinical and epidemiological information;
• Experience working with whole-genome sequencing and genotyping data to investigate the genetic architecture of complex traits and diseases in population-based cohorts;
• Strong programming skills in R and/or Python for statistical genomics analyses, including data processing, modelling, and visualisation, as well as experience with scripting in Unix/Linux environments (e.g. bash);
• Experience with commonly used tools for human genetics analyses (e.g. PLINK/PLINK2, REGENIE, PRSice, LDpred2, GCTA), and experience in handling large-scale genomic datasets;
• Experience with statistical genetics approaches, including rare variant analysis, Mendelian randomization, longitudinal modelling of disease risk, and gene–environment interaction analyses;
• Experience in analysing large-scale population-based and regional biobanks to identify population-specific genetic variation and improve risk prediction across diverse or underrepresented populations;
• Experience in analysing and integrating multi-modal datasets (genomic, clinical, lifestyle, and imaging data) to study disease biology and risk stratification;
• Familiarity with version control systems (e.g. Git) and collaborative coding practices, with a strong interest in translational genomics and in applying genomic approaches to understand disease mechanisms and improve risk prediction in diverse populations.

Organizational and social skills:

• Ability to interact effectively with other colleagues and work synergistically to drive projects forward;
• A willingness to help more junior members of the team grow;
• Ability to manage competing priorities in a fast-paced environment and to work independently;
• Ability to build trust through operating with transparency and creating an open and positive environment;
• Ability to work in a multi-cultural, multi-ethnic environment with sensitivity and respect for diversity;
• Ability to manage competing priorities in a fast-paced environment and to work independently;
• Strong interpersonal skills demonstrated by the ability to lead and gain the assistance and cooperation of others in a team endeavour.

At HT, your discoveries contribute to a global effort to improve human health. 

Why Human Technopole 
HT offers an international and dynamic workplace, competitive welfare provisions, flexible working policies and relocation support. Researchers moving to Italy may benefit from attractive tax benefits. We promote work–life balance and provide parental support initiatives. 

How to apply 
Submit: 

• a CV
• a motivation letter in English relating your track record to the specifics of the call
• names and contacts of at least 2 referees

This is a 4-year contract offered under CCNL Chimico Farmaceutico, Employee level B2

Number of position:1 

Salary range: up to 40k

The position is based in Milan, Italy, within our vibrant international campus. 

We strongly encourage applications from candidates belonging to protected categories (L. 68/99).