Offer Description
The Cancer Dormancy & Immunity lab (https://correialab.com/) headed by Ana Luísa Correia is seeking a highly motivated computational biologist to join us on a project supported by an AACR Trailblazer grant.
The position focuses on applying cutting edge computational methods to understand neuro-immune and neuro-stromal interactions in the context of liver physiology and disease, particularly during metastasis formation. Spanning single cell transcriptomics, spatial transcriptomics and functional genomics, the fellow will lead large scale integrative analyses to delineate the complex and overlooked role that neuro-immune and neuro-stromal interactions might play in cancer progression.
While this position is computational, the project is highly collaborative, involving regular interaction with wet laboratory colleagues in Cancer Biology, Immunology, Neuroscience and Translational Medicine.
The Opportunity:
- Work closely with computational and experimental colleagues to apply cutting edge computation to impactful scientific problems in cancer biology
- Leverage multimodal high dimensional data (including single cell and spatial transcriptomics) to investigate the role of neuro-immune and neuro-stromal interactions in the formation of liver metastases.
- Exploratory research with the potential for real impact on patients
- Present at scientific conferences and publish scientific insights
Employer: Champalimaud Foundation
Department: Champalimaud Research Program | Champalimaud Clinical Center | Lab | Unit
Website: correialab.com
Number and type of fellowships or contracts to be awarded: 1 fellowship
Application start date: October 29, 2026
Required Education Level: PhD
Where to apply
Website: https://docs.google.com/forms/d/e/1FAIpQLSduUoROdJIf0Bp0hGgOz7UN1zTxgQ2TFJheTBDC28NcyKlPQw/viewform
Requirements
Research Field: Computer science
Education Level: PhD or equivalent
Skills/Qualifications
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Cancer Genomics or related field
- Formal training in mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc.
- Strong programming skills, preferably in Python and/or R
- Experience with single-cell and/or spatial transcriptomics data analysis (including cell type annotation, differential abundance/accessibility/expression testing, spatial analysis, and trajectory inference)
- Proven ability to bridge bioinformatics and experimental work to solve complex problems, ideally within liver health or cancer
- Demonstrated ability to clearly and effectively communicate complex computational findings to both technical and non-technical audiences through compelling visualizations
- Demonstrated ability to rigorously document all analyses, code and workflows, including the usage of GitHub and Jupyter/R notebooks
- Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational and laboratory biologists
- Passionate about discovery and working in a scientific environment
- Collaborative mindset and enthusiasm for bridging computation with functional biology
- Quick learner, curious and taking initiative to generate biological testable hypothesis and see your ideas implemented
- Able to perform at a high level in a fast changing and demanding environment
- Required Languages: Strong spoken and written competency in English
Languages: ENGLISH
Level: Excellent
Additional Information
Benefits
- Competitive remuneration package commensurate with skills, qualifications and experience.
- Full immersion into a research excellence ecosystem with highly motivated researchers, supported by state-of-the-art technology and continuous development opportunities.
- Initial duration: 12 months, renewable for additional periods
Eligibility criteria
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Cancer Genomics or related field
- Formal training in mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc.
- Strong programming skills, preferably in Python and/or R
- Experience with single-cell and/or spatial transcriptomics data analysis (including cell type annotation, differential abundance/accessibility/expression testing, spatial analysis, and trajectory inference)
- Proven ability to bridge bioinformatics and experimental work to solve complex problems, ideally within liver health or cancer
- Demonstrated ability to clearly and effectively communicate complex computational findings to both technical and non-technical audiences through compelling visualizations
- Demonstrated ability to rigorously document all analyses, code and workflows, including the usage of GitHub and Jupyter/R notebooks
- Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational and laboratory biologists
Selection process
Candidates must complete the standard application form and submit a single annexed PDF document containing the following materials:
(i) A letter of motivation (max. 2 pages), highlighting your suitability for the role, salary expectations and notice period
(ii) CV (max. 2 pages)
(iii) Names and contact information for at least 2 references. If you do not wish that we contact current or past employers, please state so and why in your letter of motivation.
Proof of qualifications (certificates) may be required at a later date for the formalization of the contract agreement. Degrees obtained abroad may need to be formally recognized in Portugal.
The call reference will be asked and not having may invalidate your submission. This call reference is: CompBiologist_Correia_Oct2026
All CVs and motivation letters will be reviewed by the selection committee. Reference letters will be requested from shortlisted candidates, and those candidates deemed particularly well suited for the position will be invited for an interview.
Notification of results
All candidates will receive a receipt of acknowledgment within 7-10 business days. The selected candidate will be notified by email or telephone. All other candidates will be notified solely by email of the final outcome of the recruitment process.
After being notified, candidates will have 10 working days to present a claim for redress by email ([contact details available in the full listing]). If no claim is received by the Champalimaud Foundation, the Evaluation Committee´s decision will become definitive.
Additional comments
About Us
Research is at the heart of the Champalimaud Centre for the Unknown, a modern research and clinical facility situated on the waterfront in Lisbon, Portugal. The goal of Champalimaud Research (CR) is to perform world-leading fundamental and translational research. Current research work is focused on the fields of neuroscience, physiology and cancer. Champalimaud Research comprises a team of over 400 scientists from around the world. English is the official language of the Centre.
Lisbon’s sunny Atlantic Mediterranean climate, vibrant culture and high quality of life make this a great place to live and work.
Relevant Institutional Information
In line with our community guidelines and Equality, Diversity and Inclusion policy and Gender Equality Plan, no candidate may be privileged, favored, prejudiced or deprived of any right or excluded from any duty on the basis of age, sex, gender identity, sexual orientation, race/ethnicity, disability, chronic illness, language, nationality, territory of origin, family status (marital, pregnancy and maternity, having or not having dependents), socioeconomic situation, education, religion, political or ideological beliefs, trade union membership, or on any other grounds which are irrelevant to decision-making.
Legal Notices
The present call has the sole purpose of filling the indicated research position. This call may be canceled at any time on or before the jury’s evaluation of all eligible candidates and the recruitment process shall be concluded on the day of the full execution of the contract between the Champalimaud Foundation and the selected candidate.
Work Location(s)
Number of offers available: 1
Company/Institute: Champalimaud Foundation
Country: Portugal
Contact
City: Lisboa
Website: https://fchampalimaud.org/champalimaud-research
Street: Champalimaud Centre for the Unknown
Postal Code: 1400-038
