I’m recruiting on behalf of a rapidly growing Biotechnology start-up based out of central London. My client have developed a platform that utilizes computational approaches to design vaccines. Their aim is to revolutionise vaccine design – and considering they’re founded by some of the pioneering members of current computational approaches to vaccine design, they are well on their way. This is a hybrid role based out of their central London research facility. However, really it’s remote first as you’ll only be needed here twice a quarter max. The company have just finished their series A round, and are looking to double in size over the next year or so. They already have vaccines in the late stages of clinical trials, and have a solid overall set-up in terms of commercial revenue VS pure research and development.
The role itself is fundamentally a computational biology role, comprising of bioinformatics and various computational biology approaches to vaccine design. However, the added layer in this is that it’s also a Machine Learning role, where you’ll be using ML techniques on the pipelines and sequences created by you and the rest of the team. You’ll be the lead on implementing ML here and will have a skill-set that is fundamentally R&D focused, with an emphasis on model design/algorithmic design. You’ll be working with experimental biologists, bioinformaticians and software engineers to evangelize ML across the business, researching new use cases and implementing them as is seen fit.
Apply computational methods to engineer and optimise novel antigens.
Collaborate with interdisciplinary teams to optimise antigen properties.
Implement and oversee data extraction, creation, standardisation, and integration.
Contribute to scientific discussions and strategy planning.
Coordinate and collaborate multiple projects.
Regularly communicate, report, and present results to leadership teams.
A fundamental understanding of bioinformatic processes and their applications with Machine Learning.
A track record of building/implementing algorithms to analyse and interpret biological data.
Experience developing with PyTorch/Tensorflow and ML/AI principles and be able to optimize the resulting models.
Experienced in programming in Python and Linux command line.
Ph.D. in Computational Biology, Bioinformatics, or a related field. Candidates with a Master's degree and significant relevant experience will also be considered.
Knowledge of protein structure modelling is desirable.
Knowledge of statistical analysis and data visualisation techniques
Get in touch if the following sounds like you. The salary budget for this role is flexible for the right person but ultimately the right candidate will be in the £45,000 - £65,000 area. You'll also be afforded some fantastic career progression with the opportunity to really work on some pioneering areas of Biotechnology and machine learning!
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
£80,000 - £100,000 per annum + +bonus + benefits
City of London
28 November 2023
Join a leading Global Investment Bank, working across Market Risk & Finance, based in London. You will be working across RTB across 12 systems, reporting into a global structure.
While working in an RTB & small change system, you will also be involved in a number of CTB projects, focused around the regulatory reporting environment.
This role will involve some out of hours support but this will be managed on a roster. It will also involve a hybrid flexibility with 3 days per week in office
This is an exciting opportunity to join a FTSE 100 as a Project Manager to support and deliver projects end-to-end. The ideal candidate will be an end-to-end project manager with experience across the whole project life cycle from inception to delivery, process improvement and excellent stakehodler management skills.
We have partnered with an independent economic regulator who is at the forefront of shaping the societal impact of payments. They are seeking a Web and Digital to join their Communications and Engagement team. Their work influences vulnerable individuals, combats fraud, and ensures the efficiency of payment systems that underpin the economy.