Research Assistant (Creixell Group) (Fixed Term)

University of Cambridge; Cambridge; On-site; GBP 26,000 - 32,000; Full time

Job summary

The CRUK Cambridge Institute is seeking a Research Assistant to join the Creixell Laboratory, focusing on protein substrate specificity and cancer research. This role requires excellent laboratory skills in molecular biology, experience in bacterial peptide display, and a Master's degree in a relevant discipline. The successful candidate will work within a dynamic team, utilizing machine learning and biochemical methods to contribute to innovative cancer studies. The position is fixed-term, available for 12 months, and encourages applications from diverse backgrounds.

Qualifications

• An enthusiastic and highly motivated individual with excellent laboratory skills in molecular biology and protein biochemistry.
• Background in cellular signalling, cancer biology and/or computational biology specifically targeting kinases would be advantageous.
• Ability to show initiative and independent thinking, possess excellent communication skills, and work effectively as part of a diverse team.

Responsibilities

• Join a team studying protein substrate specificity, integrating machine learning and high-throughput biochemistry.
• Develop new tools to address cutting-edge questions in cancer research.
• Analyze how proteins selectively recognize their substrates and how this process is affected by cancer.

Skills

Molecular biology

Protein biochemistry

Laboratory skills

Cellular signalling

Cancer biology

Computational biology

Education

Master's Degree (MSc or MPhil) in Biology, Biochemistry, Natural Sciences

Tools

Bacterial peptide display methodology

Job description

Join us at the world-leading CRUK Cambridge Institute! We are a unique department of the University of Cambridge, core-funded by Cancer Research UK's charitable activities.

The Creixell Laboratory is seeking to hire an enthusiastic and highly motivated Research Assistant, funded through the Brain Tumour Charity, to join a team of scientists studying studying protein substrate specificity.

Our lab integrates machine learning and high-throughput biochemistry to study how proteins selectively recognise their substrates, how this process is perturbed in cancer and how it can be hijacked to find highly-selective and mutant-specific drugs to overcome drug resistance specifically in brain cancer. We are developing new tools to address cutting-edge questions in these fields.

This role will be part of a team that integrates molecular biology, low- and high-throughput protein biochemistry along with computational approaches to understand protein substrate specificity at a molecular level. We are looking to recruit an enthusiastic and competent individual with excellent laboratory skills in molecular biology and protein biochemistry. A background in cellular signalling, cancer biology and/or computational biology specifically targeting kinases would be advantageous.

The successful candidate should show initiative and independent thinking, possess excellent communication skills and the ability to work effectively as part of a diverse team.

Applicants should be educated to Master's Degree (MSc or MPhil or equivalent) in a relevant discipline (Biology, Biochemistry, Natural Sciences). Experience in working in bacterial peptide display methodology is essential for this role.

Fixed-term: The funds for this post are available for 12 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

For more information about our research please see: https://creixell-lab.com/

Please quote reference SW46690 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

• Further Particulars
  
  

Apply online