Basel, Basel-Stadt, Schweiz/Suisse/Svizzera/Svizra
Onsite
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The Roche Institute of Human Biology (IHB) in Basel, Switzerland, is seeking a Postdoctoral Scientist in Computational Biology/Immunology to join a cross-functional research effort focused on building a human atlas of CNS meningeal inflammation. This work aims to generate a deeper understanding of immune cell states in human disease and translate those insights into improved experimental models and future therapeutic strategies.
The successful candidate will be housed within the IHB and work in close collaboration with colleagues across the Institute as well as with partners across pRED, including the Neuroscience and Rare Diseases Therapeutic Area and the Computational Center of Excellence. The role is designed to help bridge foundational human biology research at the IHB with translational questions relevant to the portfolio.
This position will particularly suit a scientist excited by the opportunity to combine computational analysis, immunology, and human multi-omic data to address important questions in neuroinflammation and immune-mediated diseases.
As a Postdoctoral Scientist, you will pursue your research within the IHB’s highly collaborative open-lab environment. You will contribute to an interdisciplinary effort to define immune cell states, repertoires, and molecular programs across human neuroinflammatory settings, with a particular focus on deriving insights that can benchmark and refine future in vitro model systems developed by the team.
In this role, you will have the opportunity to:
Scientific Leadership:
Lead computational research projects focused on immune cell state biology in human neuroinflammation, integrating multi-omic datasets to uncover mechanisms relevant to disease and therapeutic intervention.
Atlas Building:
Contribute to the development of a comprehensive human atlas of neuroinflammation, identifying cellular states and molecular signatures associated with healthy and diseased donor or patient outcomes.
Innovation:
Apply computational and biological insight to high-dimensional datasets, including single-cell, repertoire, and spatial profiling approaches, to generate hypotheses and guide future translational research.
Immune Profiling:
Drive analyses of T- and B-cell repertoires and high-throughput single-cell B cell receptor (BCR) repertoire profiling, including AIRR-seq, Rep-seq, and scRNA-seq + VDJ datasets.
Collaboration:
Partner closely with scientists across IHB and pRED, including colleagues in Neuroscience and Rare Disease, to help translate human biology findings into portfolio-relevant questions and experimental strategies.
Communication:
Contribute to scientific manuscripts, internal presentations, and external conference presentations, clearly communicating computational and biological findings to diverse audiences.
Mentorship and Team Science:
Support a collaborative and inclusive research culture by working across functions and
You thrive in a dynamic, collaborative environment that gives you ownership of your scientific contributions while encouraging strong partnership across disciplines. You are proactive, curious, and solution-oriented, with the ability to work independently and engage productively with experimental and computational colleagues alike. You are motivated by the opportunity to generate insight from complex datasets and translate those findings into meaningful biological and therapeutic understanding.
You are comfortable working at the interface of computational and experimental biology and bring not only strong data analytical skills, but also a solid appreciation of the experimental workflows, assay technologies, and technical constraints that shape complex human datasets.
You bring:
A Ph.D. in Immunology, Computational Biology, Bioinformatics, Systems Biology, or a related field. Candidates should be early-career researchers who completed their Ph.D. within the last four years.
Strong programming skills in R and Python
Experience working with multi-omic datasets, ideally including single-cell and/or spatial datasets
Expertise in the analysis of T- and B-cell biology, including knowledge of immune cell subsets and cell state heterogeneity
Experience with immune repertoire profiling, such as AIRR-seq, Rep-seq, or scRNA-seq + VDJ
Experience working with shared computing clusters / high-performance computing (HPC) environments for large-scale data analysis
A strong interest in human immunology and neuroinflammation
The ability to work effectively across multiple scientific functions and to build strong, productive collaborations
Strong communication skills, with professional fluency in spoken and written English
A proactive, “go-getter” mindset, with the ability to manage priorities, adapt as research evolves, and contribute to a team-oriented culture
Preferred qualifications include:
Research experience in adaptive neuroinflammation
Knowledge of meningeal biology and tissue-specific immune niches
Experience analyzing spatial transcriptomics, spatial proteomics, or related spatial omics datasets
Familiarity with stromal biology
Experience working with human translational and multi-omic datasets
Experience working as an experimental scientist or in close partnership with wet-lab teams
A strong understanding of the experimental design, technical execution, and limitations of the assays generating the data
Interest in translating human biology insights into portfolio-relevant therapeutic strategies
Application Process
Current CV: Please provide a comprehensive CV, including a full list of your peer-reviewed publications.
Research Statement/Cover Letter: A summary of past work and foreseen fit for this role (max. 2 pages)
Professional References: Include contact details for two references who can speak to your scientific expertise and professional character.
Ph.D. Documentation: Provide an official diploma or certificate confirming your degree (if already obtained).
Timeline: The initial duration is 2 years, with potential for extension.
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Roche is an Equal Opportunity Employer.
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