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, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant contributions to drug delivery systems.
- Why this job: Make a real impact on next-generation therapeutics with advanced computational approaches.
- Qualifications: PhD in Cheminformatics or related field, with strong 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
Working From Home / Researcher in Bracknell employer: Cpl Life Sciences
Join a pioneering Genetic Medicine team in Bracknell, UK, where innovation meets collaboration. As a Cheminformatics Scientist, you'll benefit from a supportive work culture that prioritises employee growth and development, offering unique opportunities to engage with cutting-edge AI/ML technologies in the field of nanoparticle delivery systems. With a focus on meaningful contributions to next-generation therapeutics, this role provides an exciting platform for professional advancement in a dynamic and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Working From Home / Researcher in Bracknell
✨Tip Number 1
Network like a pro! Reach out to professionals in the cheminformatics and AI/ML fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding of lipid nanoparticles. Be ready to discuss how your experience aligns with the role and how you can contribute to the team’s goals.
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, send a friendly email to express your enthusiasm for the position. It shows initiative and keeps you on their radar.
✨Tip Number 4
Showcase your projects! If you’ve worked on relevant research or have a portfolio of your work, make sure to highlight it during interviews. This gives you a chance to demonstrate your skills and creativity in cheminformatics.
We think you need these skills to ace Working From Home / Researcher in Bracknell
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your PhD and any relevant experience in cheminformatics, AI/ML, and molecular modelling to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about lipid nanoparticles and how your background makes you the perfect fit for our Genetic Medicine team.
Showcase Your Projects:If you've worked on any projects related to cheminformatics or AI/ML, be sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on the details.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
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 Python Skills
Since advanced Python programming is a must-have for this role, prepare to talk about your experience with it. Bring examples of projects where you've built data visualisations or computational workflows. If you can demonstrate your coding skills during the interview, it’ll definitely set you apart.
✨Understand the Bigger Picture
This role is all about influencing experimental design and improving model performance. Be prepared to discuss how your work can impact the development of next-generation therapeutics. Showing that you understand the implications of your research will impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the team and their projects. Ask about their current challenges in lipid nanoparticle design or how they integrate AI/ML into their workflows. This not only shows your enthusiasm but also helps you gauge if the role is right for you.
