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- Tasks: Design and optimise drug candidates using machine learning and computational chemistry.
- Company: Join a cutting-edge pharmatech company revolutionising drug discovery for critical diseases.
- Benefits: Enjoy hybrid working options and the chance to collaborate with top industry professionals.
- Why this job: Be part of a dynamic team making a real impact in healthcare through innovative solutions.
- Qualifications: Expertise in cheminformatics, programming, and experience in cross-functional teams required.
- Other info: Apply quickly as this popular role may close early; reach out for more details!
The predicted salary is between 43200 - 72000 £ per year.
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.
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 environment.
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
This role is located in London, UK with a possibility of hybrid working conditions.
Please select 'apply', alternatively email apudney@barringtonjames.com with any further information.
Cheminformatician employer: Barrington James
Contact Detail:
Barrington James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cheminformatician
✨Tip Number 1
Familiarise yourself with the latest trends in cheminformatics and computational chemistry. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the pharmatech industry, especially those working in cheminformatics. Attend relevant conferences or webinars to make connections that could lead to referrals or insider information about the company.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented machine learning or improved cheminformatics infrastructures. Be ready to share your thought process and the impact of your contributions.
✨Tip Number 4
Research the company’s previous drug discovery successes and collaborations. Understanding their achievements will allow you to tailor your discussions and demonstrate your genuine interest in their work.
We think you need these skills to ace Cheminformatician
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Cheminformatician position. Make sure you understand the required skills and responsibilities, particularly around machine learning, computational chemistry, and software development.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your familiarity with cheminformatics packages, programming proficiency, and any experience in cross-functional teams.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for drug discovery and your ability to contribute to the team. Mention specific projects or experiences that demonstrate your critical thinking and problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented clearly.
How to prepare for a job interview at Barrington James
✨Showcase Your Technical Skills
Make sure to highlight your expertise in computational chemistry and cheminformatics during the interview. Be prepared to discuss specific projects where you've used machine learning or programming to solve complex problems.
✨Demonstrate Cross-Functional Collaboration
Since this role involves working with various teams, share examples of how you've successfully collaborated with machine learning engineers or medicinal chemists in the past. This will show your ability to thrive in a dynamic team environment.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your critical thinking and problem-solving abilities. Prepare by reviewing case studies or scenarios related to drug discovery and think about how you would approach them using data-driven hypotheses.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company's cheminformatics infrastructure and future projects. This demonstrates your genuine interest in the role and helps you gauge if it's the right fit for you.
