Post-Doctoral Fellow in Behavioral Cancer Science at KINGS COLLEGE LONDON

job description

This position is part of the Behavioral Science Team in KCL’s Cancer Prevention Group. The incumbent will join a growing group of interdisciplinary population health researchers working on cancer prevention, screening and early diagnosis.

The postdoctoral researcher will work on an exciting project exploring the acceptability of using AI in breast cancer screening. Working closely with Dr. Jo Waller and his colleagues at KiTEC, the incumbent will lead the day-to-day management of two projects. The first is a qualitative focus group study exploring attitudes toward the use of AI in reading breast cancer screening mammograms. The second is a large population-based survey aimed at understanding predictors of acceptability, with a focus on potential social inequalities.

The role will include developing protocols, seeking ethics approval, conducting focus groups, analyzing quantitative and qualitative data, writing reports and peer-reviewed publications, and liaising with a range of parties academic and non-academic stakeholders.
The cancer prevention group is led by Professor Peter Sasieni and currently has some 50 funded researchers. It is divided into five research sub-teams: clinical trials, statistics, experimental epidemiology, observational epidemiology and behavioral sciences. Members of the group have considerable expertise in epidemiology, clinical studies, health psychology, the use of routine registers and databases, and related statistical methodologies. Members of the group collaborate in cancer screening research internationally.

This position is part of the Behavioral Science sub-team, led by Dr. Jo Waller.

This position will be offered on a 30-month fixed-term contract
This is a full-time position – 100% full-time equivalent

Main responsibilities

  • Development of study protocols and materials
  • Ethical applications
  • Literature review
  • Qualitative data collection (facilitation of focus groups)
  • Online survey data collection
  • Data management
  • Qualitative and quantitative data analysis
  • Dissemination of results (peer-reviewed articles, reports)
  • Contribute to the academic life of the team (for example, running book clubs)
  • Hybrid work from home/office, but can also attend conferences, seminars and training outside the organization.
  • Attention to detail and excellent written and verbal communication skills are essential

The above list of responsibilities may not be exhaustive and the post holder will be required to undertake the duties and responsibilities reasonably expected within the scope and classification of the post.

Skills, knowledge and experience

Essential criteria

1. Undergraduate degree in psychology or related discipline (2:1 or 1st)
2. PhD in Health Psychology or related discipline
3. Demonstrated experience in conducting behavioral science research studies (quantitative and qualitative), including seeking relevant approvals
4. Academic expertise relevant to at least one aspect of the project (e.g., in attitudes towards AI, cancer screening, acceptability of interventions, public attitudes)
5. Experience writing for publication
6. Excellent written and verbal communication skills
7. Commitment to the highest ethical and professional standards in research
8. Ability to manage time, prioritize workload and meet deadlines
9. Excellent attention to detail
10. Ability to work independently and in a team

Desirable criteria

1. Knowledge of the literature on attitudes towards artificial intelligence (AI)
2. Understanding the principles of cancer screening

*Please note that this is a PhD level position, but applicants who have submitted their thesis and are awaiting their PhD will be considered. In these circumstances, the appointment will be in 5th year, spine 30 with the title of research assistant. Upon confirmation of the PhD award, the job title will change to Research Associate and the salary will increase to Grade 6.

More information

Interviews will take place in mid-February with a view to a return to school in March.