Research Associate at Imperial College: Imperial College London, a leading science-based institution, is seeking a Research Associate to join the Department of Bioengineering. The Faculty of Engineering at Imperial College is committed to increasing research activity in engineering-led multidisciplinary growth areas. The Research Associate will work on an exciting project focused on developing structure-based virtual screening methods using artificial intelligence (AI) and domain knowledge. This is a full-time, fixed-term position for 12 months with a possible extension.
Designation: Research Associate
Research Area: Machine learning, data science, chemoinformatics, bioinformatics, medicinal chemistry, or closely-related research areas
Location: White City Campus – Hybrid, Imperial College London
Eligibility/Qualification: Applicants must meet the following requirements:
- A relevant Ph.D. in machine learning, data science, chemoinformatics, bioinformatics, medicinal chemistry, or closely-related research areas (Candidates awaiting official award of Ph.D. may be appointed as Research Assistants)
- University degree directly relevant to the project
- Practical experience in a research environment
- Lead-author publications in relevant and refereed journals
- Practical experience in developing and evaluating machine learning models
- Practical experience in modeling protein structures and chemical structures
Job Description: The Research Associate will join the Ballester group at Imperial College London and contribute to a project aimed at developing the next generation of structure-based virtual screening methods. The project involves leveraging artificial intelligence (AI) and domain knowledge to identify potential drug leads through computational screening of molecule libraries. The candidate will address challenges related to training dataset augmentation and the performance of AI models outside their applicability domain. The project also includes collaboration with partners at the University of Cambridge. The successful candidate will have the opportunity to apply the developed methods in practical settings.
How to Apply: Interested candidates should email their CV and list of publications to Dr. Pedro Ballester at p.ballester@imperial.ac.uk. For any inquiries about the position, please contact Dr. Ballester directly.
Last Date for Apply: 17 July 2023
Please refer to the table below for a quick overview:
| Title | Research Associate |
|---|---|
| Designation | Research Associate |
| Research Area | Machine Learning, Data Science, Chemoinformatics, Bioinformatics, Medicinal Chemistry |
| Location | White City Campus – Hybrid, Imperial College London |
| Eligibility/Qualification | Relevant Ph.D. Requirements: University degree related to the project, research experience, lead-author publications in relevant journals, practical experience in developing and evaluating machine learning models, practical experience in modeling protein and chemical structures. |
| Job Description | Join the Ballester group in an exciting project developing structure-based virtual screening methods. Address challenges related to AI models and training datasets. Collaborate with partners at the University of Cambridge. Apply developed methods in practical settings. |
| How to Apply | Email CV and list of publications to p.ballester@imperial.ac.uk |
| Last Date for Apply | 17 July 2023 |
