Research Associate in High Throughput Experimentation

Imperial College London; London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading UK university is seeking a Research Associate to contribute to a project in synthetic chemistry at their London campus. The role involves translating procedures into automated workflows and managing complex reaction data. Candidates should have a PhD in organic chemistry, along with experience in automated techniques. Benefits include extensive career development opportunities and a competitive salary package.

Benefits

39 days off per year

Generous pension schemes

Professional development resources

Qualifications

• PhD in synthetic organic chemistry or related field required.
• Experience with parallel reactions and automated instruments preferred.
• Strong communication and teamwork skills are essential.

Responsibilities

• Translate synthetic procedures into automated workflows.
• Handle large databases of complex reaction data.
• Supervise project students and maintain lab operations.

Skills

Synthetic organic chemistry

Problem-solving

Team collaboration

Communication skills

Education

PhD in synthetic organic chemistry or physical organic chemistry

Tools

HPLC

GC

Automated reaction technologies

Job description

Applications are invited for a Research Associate position in the Department of Chemistry at Imperial College London, White City campus. The project, funded by EPSRC and titled “Adopting Green Solvents through Predicting Reaction Outcomes with AI/Machine Learning,” involves collaboration among Imperial College London, University of Leeds, University of Southampton, and various UK and international partners.

You will join a multidisciplinary team exploring new tools and technologies in synthetic chemistry. Your responsibilities include:

1. Translating published synthetic procedures into automated workflows for high-throughput platforms and analytical equipment.
2. Managing large databases of complex reaction data.
3. Developing tools for database interaction and analysis.

Outputs will support collaborators developing reaction prediction tools using machine learning.

You will participate in co-supervising project students and ensure safe and smooth lab operations.

Requirements:

• PhD in synthetic or physical organic chemistry.
• Experience with parallel reactions, automated kinetic instruments, and analytical techniques like HPLC and GC.
• Knowledge of Design-of-Experiment and high-throughput reaction technologies is advantageous.

Skills in developing new concepts, problem-solving, research independence, and teamwork are essential. Strong communication skills are required for publications and funding applications.

Benefits include:

• Skill development in automated synthesis, data visualization, and analysis.
• Collaboration with experts in Digital Chemistry, flow chemistry, reaction kinetics, and Machine Learning.
• Career growth opportunities at a leading institution.
• Competitive salary, 39 days off, and pension schemes.
• Diverse, inclusive, and resource-supported work environment.