PhD Position in Generative Modeling of Human Development and Disease
- Montreal, QC, Canada
- Urban agglomeration of Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
We are home to more than 67 research groups and over 800 employees across six locations in the heart of Basel. Our collaborative and international environment fosters innovation, excellence, and impactful research.
Join our community and help shape the future of biomedicine.
The Computational Cellular Dynamics (CCD) Lab, led by Marius Lange, is a new research group at the Department of Biomedicine and the Basel Research Centre for Child Health (BRCCH). We develop generative models of how human tissues develop, mature and regenerate, and of what goes wrong in disease, with a focus on child health. The group starts in January 2027.
Your position
You Will Develop Generative Models On Single-cell And Spatial Genomics Data, From Sequencing And Imaging, And Apply Them To Human Developmental And Disease Biology. Possible Research Directions Include
- Generative models of cell–cell communication. Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues.
- Joint models of regulation and dynamics. Flow- and diffusion-based models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying regulatory principles. We work on regularization, training on time-resolved perturbation and lineage-tracing data, and multi-modal readouts to constrain these models toward biological mechanisms.
- Intervention design and continual learning. Beyond predicting perturbation outcomes: designing interventions that steer cells toward a desired molecular state, and updating trained models as new data arrive, toward a lab-in-the-loop setup.
Your profile
Required
- MSc in computer science, mathematics, physics, engineering, computational biology or a related quantitative field
- Hands-on experience with biological data
- Strong Python skills and experience with PyTorch or JAX, together with the statistical grounding to reason about the models you use
- A GitHub account with code you have written
- Fluent English
- Experience with single-cell or spatial genomics data
- Contributions to open-source scientific software
- A fully funded four-year PhD position (100 %) in a new research group with generous resources for both computation and data generation
- A collaborative and supportive research environment, with access to pediatric and adult clinical samples through hospital collaborations in Basel. We promote a dynamic and supportive team culture that values diversity and inclusion
- Internationally competitive salary and social benefits according to the rules of the University of Basel; enrolment in the International PhD Programme in Biomedicine, with courses, skills training and career development
- One of Europe's densest life-science ecosystems: alongside the University and its hospitals, Basel hosts ETH Zurich's D-BSSE, the Botnar Institute of Immune Engineering (BIIE), the Friedrich Miescher Institute (FMI), the Institute of Molecular and Clinical Ophthalmology Basel (IOB), the BRCCH where this lab sits, and two global pharma companies, all within a few kilometres, in an international city at the border of France and Germany with a high quality of life
Please upload your application via the online platform. It should include:
- a motivation letter stating your research interests, your fit to the profile and why you are applying (max. one page)
- a short description of a research project you were involved in, e.g. your MSc project, stating its rationale, main outcome and your contribution (max. half a page)
- a CV
- a link to your GitHub account
- a copy of your current MSc transcript of records
- contact details of at least two references (willing to provide recommendation letters upon request), including your relation to them
The University of Basel is an equal opportunity and family-friendly employer committed to excellence through diversity.
Apply
www.unibas.ch
More about this job
Responsibilities
Develop generative models using single-cell and spatial genomics data from sequencing and imaging, and apply them to human development and disease biology. Research may include modeling cell-cell communication, cellular regulation and dynamics, intervention design, and continual learning.
Requirements
Applicants must have an MSc in a quantitative field, hands-on experience with biological data, strong Python skills, and experience with PyTorch or JAX and statistical modeling. They must also provide a GitHub account with code they have written and be fluent in English; experience with single-cell or spatial genomics and open-source scientific software is desirable.
Skills
- Python
- PyTorch
- JAX
- Statistical Modeling
- Generative Modeling
- Computational Biology
- Single-Cell Genomics
- Spatial Genomics
- Biological Data Analysis
- GitHub
- Cellular Dynamics
- Data Integration
Benefits
- Social Benefits
- Professional Development
- Career Development
Visa sponsorship
Not detected in the job text
Hiring contact
Marius Lange
Hiring contact email
marius.lange.lab@gmail.com
Categories
- Science & Research
- Healthcare
- Data & Analytics
- Technology
- Education
Keywords
- Generative Models
- Single-Cell Genomics
- Spatial Genomics
- Sequencing
- Imaging
- Human Development
- Disease Biology
- Cell-Cell Communication
- Ligand-Receptor Analysis
- Cellular Dynamics
- Regulatory Modeling
- Flow-Based Models
- Diffusion-Based Models
- Perturbation Data
- Lineage Tracing
- Multimodal Data
- Intervention Design
- Continual Learning
- Python
- PyTorch
- JAX
- Statistical Modeling
- Computational Biology
- Data Integration
- GitHub
- scVelo
- CellRank
- moslin
- moscot