Research Associate on Action on cancer project

Goldsmiths University of London
November 27, 2022
Offerd Salary:£40,987 - £45,668
Working address:N/A
Contract Type:Fixed-Term Contract
Working Time:Full time
Working type:N/A
Job Ref.:N/A
Research Associate on Action on cancer project


Cancer currently kills between 1 in 3 and 1 in 4 people in the UK. For the first time, thanks to advances in genomics and related technologies, we are beginning to understand the true complexity of the hundreds/thousands of related diseases we call ‘cancer', and a rational strategy of how to treat them is emerging.

The ACTION on cancer project aims to harness the power of AI and automated experimentation to provide researchers in the UK and beyond with continuous, uninterrupted, remote access to AI/robotic augmented cancer research capabilities. We will demonstrate the feasibility of a fully automated, closed-loop robotic research system that can conduct a key set of cancer experiments in a remote autonomous fashion. Building on the applicants' original work in this field, we will lay the foundations for autonomous research systems that follow the iterative process of design-test-measure in a laboratory setting without human intervention.

Overall purpose of the job

The Appointee will be primarily responsible for developing the AI system and integrating it with biomedical knowledge bases and bioinformatics databases, and automating use of this knowledge to inform decisions about cancer treatments and plan relevant tests. The Appointee will be working in close collaboration with the Robot Scientist Team in Cambridge and wider.



Vacancy Type


Contract Length

until 6.11.2023


Full Time

Part Time Hours

To be agreed at offer stage


£40,987 - £45,668

Actual Hours




Interview Date


Contact Details

Posted Date


Closing Date


Ref No


Key Responsibilities, Accountabilities or Duties

The range of duties will include:

  • Develop research objectives and proposals for own or joint research, with the assistance of a mentor if required.
  • Conduct individual and collaborative research projects.
  • Write up research work for publication.
  • Continually update knowledge and understanding in field or specialism.
  • Translate knowledge of advances in the subject area into research activity.
  • Deal with routine communication using a range of media.
  • Communicate complex information, orally, in writing and electronically.
  • Communicate material of a specialist or highly technical nature.
  • Liaise with colleagues and students.
  • Build internal contacts and participate in internal networks for the exchange of information and to form relationships for future collaboration.
  • Join external networks to share information and identify potential sources of funds.
  • Manage own research and administrative activities, with guidance if required.
  • Work with colleagues on joint projects, as required
  • Collaborate with academic colleagues on areas of shared research interest.
  • Attend and contribute to relevant meetings.
  • Use new research techniques and methods.
  • Use initiative and creativity to identify areas for research, develop new research methods and extend the research portfolio.
  • Use creativity to analyse and interpret research data and draw conclusions on the outcomes.
  • Contribute to collaborative decision making with colleagues in areas of research.
  • Use research resources, laboratories and workshops as appropriate.
  • Plan and manage own research activity in collaboration with others.
  • Balance with help the competing pressures of research and administrative demands and deadlines.
  • Be aware of the risks in the work environment and their potential impact on their own work and that of others.


  • Have, or be about to obtain, a relevant PhD (or equivalent)
  • Specialist knowledge in the development and application of machine learning, AI, or bioinformatic software.
  • Experience in research methods and techniques to work within machine learning, AI, or bioinformatics.
  • Excellent communication and interpersonal skills
  • Excellent time management and organisational skills
  • Ability to work independently and as part of a team
  • Ability to liaise confidently and effectively with a range of individuals
  • Flexible approach to dealing with research problems as they arise
  • Willingness to learn and develop
  • Ability to present in both written and oral publications
  • Ability to meet deadlines
  • The ability to evaluate complex data
  • Ability to contribute to broader management and administrative processes.
  • Ability to assess and organise resources
  • Understand equal opportunity issues as they may impact on areas of research content.
  • Desirable:

  • Specialist knowledge in probabilistic reasoning
  • Specialist knowledge in semantic technologies
  • An interest in applying their analytical skills to a key biological problem
  • Experience with laboratory automation
  • Knowledge of cancer research
  • Journal publication record.
  • From this employer

    Recent blogs

    Recent news