Cancer Metastasis Data Scientist (Spatial & scRNA)

Champalimaud Foundation; Portugal; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

12-month contract

Competitive remuneration package

Job summary

Champalimaud Foundation invites a highly motivated computational biologist to join the Cancer Dormancy & Immunity Lab on a project supported by an AACR Trailblazer grant. The fellowship focuses on applying advanced computational methods to understand neuro-immune and neuro-stromal interactions in liver physiology and disease, with emphasis on metastasis formation.

The role combines single-cell and spatial transcriptomics, functional genomics, and large-scale data analyses.

Qualifications

• Ph.D. in Computational Biology or related field is required.
• Strong training in math, statistics, and ML for complex data analysis.
• Proficiency in Python and/or R with robust programming experience.

Responsibilities

• Apply cutting-edge computation to cancer biology problems.
• Leverage multimodal data (single-cell, spatial) to study liver metastases.
• Collaborate with wet-lab colleagues across biology and translational medicine.
• Present findings at conferences and publish insights.

Skills

Python

R

Single-cell analysis

Spatial transcriptomics

Machine learning

Data integration

GitHub

Communication

Education

PhD in Computational Biology or related

Strong mathematical/statistical background

Experience in liver cancer context

Tools

Jupyter

R

Job description

Champalimaud Foundation invites a highly motivated computational biologist to join the Cancer Dormancy & Immunity Lab on a project supported by an AACR Trailblazer grant. The fellowship focuses on applying advanced computational methods to understand neuro-immune and neuro-stromal interactions in liver physiology and disease, with emphasis on metastasis formation.

The role combines single-cell and spatial transcriptomics, functional genomics, and large-scale data analyses.