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: Gain hands-on experience in advanced computational approaches and impactful research.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Make a real difference in next-generation therapeutics with your expertise.
- Qualifications: PhD in Cheminformatics or related field, with strong AI/ML and programming skills.
The predicted salary is between 40000 - 50000 € 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 - jamie.keith@cpl.com
Researcher in Bracknell 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 will have access to cutting-edge technology and resources, along with ample opportunities for professional growth and development in a rapidly evolving field. Our commitment to employee well-being and a supportive environment makes us an exceptional employer for those seeking meaningful contributions to next-generation therapeutics.
StudySmarter Expert Advice🤫
We think this is how you could land Researcher in Bracknell
✨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 apply and wait! Follow up on your applications through our website. A quick email or message can show your enthusiasm and keep you on the radar of hiring managers.
✨Tip Number 4
Showcase your skills with a portfolio! If you’ve worked on relevant projects, create a digital portfolio that highlights your cheminformatics and AI/ML work. This can really set you apart from other candidates.
We think you need these skills to ace Researcher in Bracknell
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 the cutting-edge work we do at StudySmarter. Be specific about your achievements and how they relate to lipid nanoparticles.
Showcase Your Technical Skills:Don’t forget to emphasise your advanced Python programming skills and experience with data visualisations. Mention any specific tools or methodologies you've used in cheminformatics that could be beneficial for the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Cpl Life Sciences
✨Know Your Cheminformatics Inside Out
Make sure you brush up on your cheminformatics knowledge before the interview. Be ready to discuss how you've applied AI/ML in your previous work, especially in relation to lipid nanoparticles. Having specific examples at hand will show your expertise and passion for the field.
✨Show Off Your Data Skills
Since data analytics and statistical modelling are key parts of this role, prepare to talk about your experience with these areas. Bring examples of how you've built workflows or visualisations that have led to significant insights. This will demonstrate your ability to handle complex datasets effectively.
✨Get Familiar with Lipid Nanoparticles
Even if you haven't worked directly with lipid nanoparticles before, do some research on them. Understand their formulation behaviour and the challenges involved in lipid synthesis. This knowledge will help you engage in meaningful discussions during the interview and show your enthusiasm for the role.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about the team and projects. Inquire about their current challenges in lipid design or how they integrate AI/ML into their workflows. This shows you're genuinely interested and eager to contribute to their cutting-edge work.
