This is an opportunity to work with a next generation pharmatech company designing fast innovative drug candidates for critical diseases. This company has already delivered several drug discovery successes through various collaborations with pharmaceutical companies.
To be considered for an interview, please make sure your application is full in line with the job specs as found below.
We are looking for a candidate with a variety of expertise surrounding machine learning, project management, computational chemistry and software development.
Within this role, you will be responsible for selecting, designing, optimising molecules for synthesis in a multitude of drug discovery programs guided by data-driven hypotheses. Your involvement will be covering the entirety of the project lifecycles, from nomination to pre-clinical, working alongside a dynamic team environments.
It is crucial to the success within this role to offer systemic feedback driving continuous improvement for cheminformatics infrastructures and algorithm implementation.
Expected Skills:
- Familiarity with standard Computational Chemistry/ Cheminformatic packages
- Computational workflows (virtual screening, compound library design)
- Experience improving internal cheminformatic infrastructures
- Cross functional working environment experience, working with machine learning/ AI engineers, computational and medicinal chemists.
- Programming proficiency
Additional Expertise:
- Molecular prediction models and molecular dynamics
- Data Analysis and Visualisation Techniques
- Software development
- Critical thinking/ complex problem solving abilities
Does this role sound like a great fit for you? Then this could be the opportunity for you.
This role is Located in London, UK with a possibility of hybrid working conditions.
Reach out and lets talk!
Following your application, Amelia Pudney will discuss the opportunity with you in detail. She will happily answer any queries surrounding the opportunity and the potential for career growth. This position is highly popular, and has possibility to close prematurely; apply as soon as possible to avoid disappointment.
Please select 'apply', alternatively email with any further information.
