Cambridge, UK | Full-time | Two-year position
Riverlane is a research-led start-up that builds ground-breaking algorithms and software to unleash the predictive power of quantum computing. Backed by leading venture capital funds and the University of Cambridge, we work together with visionary chemical, pharmaceutical and materials companies to develop billion-dollar applications using quantum advantage.
You will join our cross-disciplinary team of software developers, mathematicians, quantum information theorists, computational chemists and computational physicists – all world experts in their fields. Our collaborative, close-knit team has a track record of delivering high-quality R&D across the full quantum stack. As an early stage start-up, you will have the freedom to think independently and creatively, as well as contribute to Riverlane’s business development.
We offer a competitive salary, equity options, and relocation costs.
About the role
This two-year post-doctoral quantum chemistry position is funded as part of a joint research collaboration between Astex Pharmaceuticals and Riverlane. You will be based in the applied and developmental quantum chemistry group at Riverlane (four days a week) and also spend time with the modelling and theory group at Astex (one day a week).
What you will do
You will be responsible for performing computational chemistry studies to investigate various pharmaceutical targets using a range of new and existing modelling approaches and simulation techniques. You will conduct original and exciting studies to develop the application of new quantum inspired modelling techniques to explore and document the simulation of drug-protein target interactions. The multidisciplinary nature of this research project means that you will maintain and update your knowledge of pharmaceutical chemistry, quantum chemical modelling, pharmaceutical modelling methods, as well as general and new approaches to modelling.
What we need
With at least two years post-doctoral experience, you will be proficient in a range of computational chemistry methods, including but not limited to:
- Static methods, such as various quantum chemistry electronic structure methods
- Atomistic / force-field based approaches
- QM/MM embedding techniques
- Dynamic methods such as quantum and classical molecular dynamics and Monte Carlo approaches.
The candidate should also have experience of:
- PhD in relevant topic
- Processing and manipulating large biological structures
- Preparing structures from sources such as the international bioinformatics database and other data repositories
- Running batches of calculations at scale
- Standard pre and post processing of calculated data.
Even better if you have…
- Experience running calculations on national or international high performance computing (HPC) platforms
- An awareness of current simulation techniques in the pharmaceutical sector
- Understanding of the drug discovery process
- A keen interest in quantum technologies and quantum inspired simulation approaches
- Experience of drug-protein simulation methods and analysis
- Experience of analysing and comparing experimental and calculated data types.
How to apply
Please upload a CV and covering letter here: https://apply.workable.com/riverlane/j/9A86370224/. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.
If you have any queries, please contact email@example.com
Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.
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