Postdoctoral Fellow – Ewald Group: The Ewald Lab at EMBL-EBI is seeking a Postdoctoral Fellow to analyze a pioneering toxicology dataset. This role is part of the OASIS Consortium, which aims to develop innovative approaches for predicting liver toxicity, thereby reducing reliance on animal testing and enhancing safety assessment accuracy.
Designation
Postdoctoral Fellow
Research Area
- Toxicology
- Bioinformatics
- Multi-omics integration
- Computational biology
Location
- Hinxton, Cambridgeshire (Hybrid working arrangements available)
Eligibility/Qualification
- Required:
- PhD or equivalent in computer science, statistics, mathematics, physics, or engineering, or a degree in biological science with demonstrated computational experience.
- Strong programming skills, preferably in Python or R.
- Expertise in statistical methods, mathematical modeling, or machine learning.
- Proven ability to develop computational methods applicable to biology, especially for high-dimensional data.
- Experience publishing research in international peer-reviewed journals.
- Excellent communication, collaboration, and leadership skills.
- Preferred:
- Expertise in computational toxicology or pharmacology from pharmaceutical or regulatory perspective.
- Experience with computational image analysis or multi-omics integration.
- Familiarity with frameworks such as PyTorch, Keras, Pyro, or TensorFlow.
Job Description
As a Postdoctoral Fellow in the Ewald Group, your responsibilities will include:
- Developing predictive models for compound mode-of-action using multi-omics data.
- Applying deep learning techniques to analyze public histopathology images and OASIS-generated data.
- Investigating mathematical approaches to relate biological responses across in vitro and in vivo toxicity tests.
This position offers the opportunity to engage with a highly collaborative and inclusive research community dedicated to innovation in biology and medicine.
How to Apply
To apply for this position, submit a cover letter and CV through our online application system.
Last Date to Apply
- Closing Date: April 2, 2025
For more information about EMBL and our culture of innovation, please visit our website or contact our Human Resources team directly. Join us to advance science and make a meaningful impact in the field of toxicology!
