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: Work from home, gain valuable experience, and contribute to next-gen therapeutics.
- Other info: Exciting opportunity for career growth in a dynamic research environment.
- Why this job: Make a real impact in genetic medicine while working with advanced technologies.
- Qualifications: PhD in Cheminformatics or related field, with AI/ML experience.
The predicted salary is between 50000 - 70000 € 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 - Home Based in Bracknell employer: Cpl Life Sciences
Join a pioneering Genetic Medicine team in Bracknell, UK, where innovation meets collaboration. As a Researcher, you'll thrive in a dynamic work culture that values creativity and scientific excellence, with ample opportunities for professional growth and development. Enjoy the unique advantage of working remotely while contributing to groundbreaking advancements in AI/ML and nanoparticle delivery systems, making a tangible impact on next-generation therapeutics.
StudySmarter Expert Advice🤫
We think this is how you could land Researcher - Home Based 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. We recommend practising common interview questions and even doing mock interviews with friends or colleagues to build confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio of your previous work, especially any projects related to cheminformatics or molecular modelling. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Researcher - Home Based in Bracknell
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in cheminformatics and AI/ML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
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 makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Skills:Don’t forget to highlight your advanced Python programming skills and any experience with data analytics or statistical modelling. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
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 keep track of 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 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 for this role, prepare to talk about your experience with these areas. Bring along examples of data visualisations or computational workflows you've built. This will demonstrate your ability to handle complex datasets effectively.
✨Understand the Bigger Picture
Familiarise yourself with the latest trends in genetic medicine and nanoparticle delivery systems. Being able to discuss how your work can influence experimental design and improve model performance will set you apart from other candidates.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team’s current projects and challenges they face. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.
