About us
Biosciences is one of the world's foremost centres for research and teaching in the biological sciences and one of the largest Divisions within UCL, undertaking a significant amount of research and teaching. The Division has a diverse portfolio addressing all areas of biology from protein interactions to cell function, organism development, genetics, population studies and the environment. Computational modelling approaches are frequently used alongside experimental research programmes and much of our research crosses traditional boundaries, including the relationship of biodiversity to the health of the planet. Activity is underpinned by high calibre science technology platforms and state of the art equipment. Educational activity includes a range of undergraduate programmes, an expanding number of Masters Programmes and a substantial number of postgraduate research students.
This is an exciting opportunity to join the Department of Structural and Molecular Biology within the Division of Biosciences at UCL.
SMB provides a stimulating and diverse research environment of international standing where important and exciting areas of modern biology, biophysics, biochemistry, biotechnology and medicine are investigated at the atomic, molecular, cellular and organism level. The Department is strong in the areas of Computational Biology and Bioinformatics and is aiming at expanding expertise in Artificial Intelligence applied to molecular systems.
About the role
This is an exciting opportunity to become a Lecturer at UCL. The successful candidate will take an active role in the Department of Structural and Molecular Biology (SMB), developing an international standard, competitive research programme, conducting teaching and training of undergraduate and postgraduate students, and supporting the Department's vision of creating an impact on the life of the University and society.
We are looking to establish a new research and teaching programme within SMB. Almost all modern biosciences research techniques, from molecular biology, biochemistry and biophysics through sequencing and bioinformatics, require handling large amounts of data. There is an urgent need for innovative strategies to derive new models and theoretical approaches aimed at extracting meaningful insights from the vast amounts of available data in modern biology. Advances in artificial intelligence and computational biology have the potential to transform scientific research by streamlining data analysis, creating predictive models, and offering feedback between experiments and molecular models. We are particularly interested in candidates with research interests encompassing computational biology of molecular systems, artificial intelligence/machine learning, and interpretable biological modelling. We welcome research exploiting the integration of bioinformatics, systems biology, and biophysics to model and analyze molecular systems at different scales, from individual biomolecules to complex cellular networks. This position will play a pivotal role in the research program of SMB, providing opportunities for fruitful interactions between experimentalists and theoreticians, shaping and expanding new research directions.
About you
We are looking for a new Lecturer to join the Department of Structural and Molecular Biology (SMB). They will develop an internationally competitive research programme, and conduct teaching and training of undergraduate and postgraduate students. The specific research focus is on developing innovative strategies to derive new Artificial Intelligence and Machine Learning approaches aimed at extracting meaningful insights from the vast amounts of available data in modern biology. We are therefore particularly interested in candidates with research interests encompassing computational biology of molecular systems, artificial intelligence/machine learning, and interpretable biological modelling. The successful candidate will play a pivotal role in the research program of SMB, providing opportunities for fruitful interactions between experimentalists and theoreticians, shaping and expanding new research directions. In addition to developing and conducting the research, you will communicate results as scientific papers and in scientific presentations at local, national, and international conferences.
You must have a proven track record in computational biology, bioinformatics, systems biology, and/or biophysics to model and analyze molecular systems at different scales, from individual biomolecules to complex cellular networks. Candidates with experience of teaching these subjects, machine learning and data science skills to students of a biological background would also be at a significant advantage.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
1. 41 Days holiday (27 days annual leave, 8 bank holidays, and 6 closure days)
2. Additional 5 days' annual leave purchase scheme
3. Defined benefit career average revalued earnings pension scheme (CARE)
4. Cycle to work scheme and season ticket loan
5. Immigration loan and expenses
6. Relocation scheme for certain posts
7. On-Site nursery
8. On-site gym
9. Enhanced maternity, paternity and adoption pay
10. Employee assistance programme: Staff Support Service
11. Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce.
These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Our department holds an Athena SWAN Silver award, in recognition of our commitment to advancing gender equality.
You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/ #J-18808-Ljbffr