Multiomics Bioinformatician

Organisation/Company Humanitas Research Hospital Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Country Italy Final date to receive applications 31 Jan 2026 - 23:00 (UTC) 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

We are seeking a talented bioinformatician to join an international project funded by ERA4

Health Inter Heart 2025. The project investigates the impact of extracellular vesicles released by skeletal muscle on the heart in the context of cancer‑induced cachexia (CIC) and explores how muscle‑heart crosstalk is modulated by physical exercise and pharmacological interventions.

The position involves integrative analysis of multi‑omics datasets (snRNA‑Seq, CUT&Tag, proteomics, and metabolomics) on extracellular vesicles and tissues derived from skeletal muscle/tumor co‑culture systems and mouse models of CIC, with the goal of defining molecular signatures, identifying biomarkers, and discovering novel therapeutic targets.

• Develop and execute bioinformatic pipelines for the analysis of transcriptomic (snRNA‑Seq, total RNA‑Seq, micro
  
  RNA‑Seq) and epigenetic (CUT&Tag, ATAC‑Seq) datasets derived from extracellular vesicles and tissues from in vitro and in vivo
• Integrate multi‑omics datasets to uncover molecular pathways and networks underlying disease mechanisms.
• Curate and prepare data for deposition in public repositories.
• Contribute to manuscript preparation and dissemination.

• Master’s degree or higher in bioinformatics, computational biology, biostatistics, computer science, data science, or equivalent applied to biology, preferably with cardiovascular focus.
• Proven expertise in RNA‑Seq and integrative multi‑omics analysis and interpretation.
• Proficiency in R, Python, or similar programming languages.
• Experience in using omics data to provide insights into molecular pathways and disease mechanisms.
• Strong verbal and written communication skills in English.
• Excellent organizational and analytical skills with attention to detail.
• Capacity to work independently while collaborating within a team.

Duration: 1 year, renewable for at least 2 additional years based on performance.

Salary: Commensurate with experience

To apply: Please send a motivation letter, CV, and contact details for at least two references.