At a Glance
- Tasks: Join a cutting-edge team to design and optimise lipid nanoparticles using AI/ML and cheminformatics.
- Company: Innovative Genetic Medicine team based in Bracknell, UK.
- Benefits: 12-month contract with opportunities for professional growth and impactful work.
- Other info: Collaborative environment with a focus on innovation and data-driven insights.
- Why this job: Make a real difference in next-gen therapeutics through advanced computational approaches.
- Qualifications: PhD in Cheminformatics or related field, with strong AI/ML experience.
The predicted salary is between 45000 - 60000 € per year.
I'm looking for a Cheminformatics Scientist to join a cutting-edge Genetic Medicine team based in Bracknell, UK working at the intersection of AI/ML, chemistry, and nanoparticle delivery systems. This will be for an initial 12 months. This is a unique opportunity to apply advanced computational approaches to design and optimize lipid nanoparticles (tLNPs), a critical technology enabling next-generation therapeutics.
You’ll play a key role in exploring and expanding chemical space for novel lipid design, leveraging:
- Cheminformatics
- AI/ML modelling
- Molecular modelling insights
Your work will directly influence how targeted lipid nanoparticles are designed, prioritised, and brought into experimental validation.
What You’ll Do
- Develop and apply molecular representations for lipids used in nanoparticle systems
- Build workflows to analyze, classify, and extract features from lipid datasets
- Design and refine virtual lipid libraries using:
- Cheminformatics
- AI/ML methods
- Chemical intuition
- Create predictive models linking lipid structure to:
- Formulation behaviour
- In vivo performance
- Drive diversity selection and prioritisation strategies for synthesis
- Generate insights into lipid topology (head, linker, tail) and their functional roles
- Partner cross-functionally to ensure high-quality, consistent data generation
- Influence experimental design to improve model performance and data quality
What We’re Looking For
- PhD in Cheminformatics, Computational Chemistry, or related field
- Proven experience applying AI/ML in cheminformatics
- Strong background in:
- Data analytics
- Statistical modelling
- Molecular descriptors
- Advanced Python programming skills
- Experience building data visualisations and computational workflows
Nice to Have
- Experience with lipid nanoparticles (tLNPs) or drug delivery systems
- Understanding of:
- Lipid synthesis and purification challenges
- Particle formulation and readouts
- Knowledge of topological descriptors for lipid structures
- Experience at the interface of AI agents & cheminformatics
- Interest in combining physics-based modelling with ML approaches
For more information, apply or get in touch.
Researcher in Reading employer: Cpl Life Sciences
Join our innovative Genetic Medicine team in Bracknell, where we foster a collaborative and dynamic work culture that encourages creativity and scientific exploration. As a Cheminformatics Scientist, you'll benefit from professional development opportunities and the chance to work at the forefront of AI/ML applications in drug delivery systems, making a tangible impact on next-generation therapeutics. Our commitment to employee growth and a supportive environment makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Researcher in Reading
✨Tip Number 1
Network like a pro! Reach out to professionals in the cheminformatics and genetic medicine fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your AI/ML knowledge and how it applies to lipid nanoparticles. Be ready to discuss your past projects and how they relate to the role. We want to see your passion and problem-solving skills!
✨Tip Number 3
Don’t just wait for job postings! Reach out directly to companies you’re interested in, like us at StudySmarter. Express your enthusiasm for their work and ask if they have any upcoming opportunities that fit your skill set.
✨Tip Number 4
Showcase your skills through a portfolio or GitHub repository. Include examples of your molecular modelling, data visualisations, and any AI/ML projects you've worked on. This will give potential employers a clear view of what you can bring to the table!
We think you need these skills to ace Researcher in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Cheminformatics Scientist. Highlight your experience with AI/ML, cheminformatics, and any relevant projects that showcase your skills in molecular modelling and data analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about genetic medicine and how your background aligns with our cutting-edge work in lipid nanoparticles. Be specific about your achievements and how they relate to the job.
Showcase Your Technical Skills:Don’t forget to mention your advanced Python programming skills and any experience you have with data visualisations or computational workflows. We want to see how you can apply these skills to design and optimise lipid nanoparticles!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Cpl Life Sciences
✨Know Your Cheminformatics Inside Out
Make sure you brush up on your knowledge of cheminformatics and AI/ML applications. Be ready to discuss specific projects where you've applied these skills, especially in relation to lipid nanoparticles. This will show your potential employer that you're not just familiar with the concepts but have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, particularly those involving data analytics and molecular modelling. Think of examples where your innovative solutions made a difference, as this will highlight your ability to think critically and creatively in a research environment.
✨Demonstrate Your Programming Prowess
Since advanced Python programming is a key requirement, be ready to talk about your coding experience. You might even want to prepare a small coding example or two that showcases your ability to build computational workflows or data visualisations relevant to lipid design.
✨Engage with Cross-Functional Collaboration
This role involves partnering with various teams, so be prepared to discuss your experience working cross-functionally. Share examples of how you've effectively communicated and collaborated with others to ensure high-quality data generation and experimental design.
