A research laboratory combines causal inference, probabilistic AI, and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with direct biomedical relevance.
The laboratory is embedded in a center for AI & Computational Biology and a center for Inflammation Research, where it collaborates closely with leading experimental immunologists to unravel the cellular and molecular mechanisms of inflammatory diseases.
What you will do. The laboratory is looking for a researcher to advance in vivo perturbational screening. Single-cell CRISPR technologies have been developed that enable dozens of molecular factors to be screened in vivo during development and disease, accelerating the discovery of pathways that control immune-cell behavior. You will help expand these technologies by improving the screening pipeline, applying it in new biological contexts, and uncovering mechanisms of immune regulation at the systems level.
The position can have an experimental, computational, or hybrid focus, but an interest in both areas is essential.
- Learn and apply the complete screening pipeline, from stem-cell engineering to data analysis
- Develop and test improvements in single-cell methods and vector design
- Apply the technology in steady-state and disease settings
- Analyze perturbational data to identify causal regulators of immune-cell states
- Close the loop between computational predictions and experimental validation
- Present your work at conferences and publish in scientific journals
- Contribute to the supervision of Master’s and, where appropriate, PhD students
Profile
- A Master’s degree for PhD applicants or a PhD for postdoctoral applicants in molecular biology, biochemistry, biotechnology, bioinformatics, computational biology, biostatistics, or a related field.
- Experience in either experimental or computational biology
- Fluency in written and spoken English
Practical
- An interdisciplinary environment spanning experimental biology, technology development, and computational research
- Access to an established in vivo single-cell CRISPR screening pipeline
- The opportunity to investigate biologically and medically relevant immune-cell populations
- Access to state-of-the-art technologies, data, and core facilities
- A collaborative environment across two research centers
- A competitive salary and full benefits
How to apply
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