Lipid Nanoparticle Cheminformatics Scientist (Hybrid)

Talentmark; Bracknell; Hybrid; GBP 55,000 - 69,000; Full time

Job summary

Talentmark are recruiting a Cheminformatics Researcher to join a leading pharmaceutical company on a 12-month contract. The role is hybrid with a minimum of 2 days per week in the Bracknell office.

You will apply computer-based chemistry methods and AI/ML to explore and design lipid molecules used in targeted lipid nanoparticles. You will help build and improve a virtual library of lipid designs, perform data analysis, and collaborate with scientists to develop predictive models and robust

Qualifications

• PhD in Cheminformatics, Computational Chemistry, or related field.
• Experience designing chemical libraries and analysing structure-activity relationships.
• Strong data analysis and AI/ML experience; basic statistics knowledge.
• Strong Python programming and data visualization skills.
• Understanding of lipid nanoparticle formulation is helpful but not required.

Responsibilities

• Represent lipid molecules digitally and build tools to analyse lipid structures.
• Design new lipid structures using available building blocks, finding useful patterns.
• Build and improve a virtual lipid library using data analysis and AI/ML.
• Build and test models predicting how lipid structure affects performance.
• Create processes to prioritise lipids balancing variety with lab capacity.
• Maintain high-quality data analysis and collaborate with scientists across the team.

Skills

Python

Data analysis

AI/ML

Statistics

Data visualization

Education

PhD in Cheminformatics, Computational Chemistry, or related field

Tools

Cheminformatics tools

Python scripting

Job description

Talentmark are recruiting a Cheminformatics Researcher to join a leading pharmaceutical company on a 12-month contract. The role is hybrid with a minimum of 2 days per week in the Bracknell office.

You will apply computer-based chemistry methods and AI/ML to explore and design lipid molecules used in targeted lipid nanoparticles. You will help build and improve a virtual library of lipid designs, perform data analysis, and collaborate with scientists to develop predictive models and robust