Research Opportunities

We are actively looking for ambitious researchers to join our team. The list below outlines suggested areas of research where we currently have capacity and interest. However, these are not exhaustive. We are keen to hear from prospective lab members who have other relevant ideas or novel proposals that align with our focus on skin cancer and regenerative dermatology.

Clinical Research & Systematic Reviews

The following projects involve evidence synthesis and clinical data analysis. These projects can potentially be completed by junior doctors or medical students looking to develop their academic portfolio. Others will require a longer period of focused research such as a PhD.

Literature Review

Prophylactic laser therapy for keratinocyte cancer

There is evidence that ablative and non-ablative fractional laser resurfacing can reduce the risk of skin cancer. This project involves a review and of the literature to examine the evidence in this area.

Literature Review

Prospective trial of prophylactic laser therapy for prevention of keratinocyte cancer

There is evidence that ablative and non-ablative fractional laser resurfacing can reduce the risk of skin cancer. This project involves a prospective clinical trial to examine whether fractional ablative and non-ablative laser resurfacing reduces the risk of skin cancer. This is a significant project that will require gaining ethical approval, performing the laser resurfacing treatments and seeing patients for follow up. It would be best performed by a dermatology trainee undertaking a PhD.

Literature Review

Skin cancer prevention strategies in high-risk patients

Review of pharmacological and procedural interventions (e.g. nicotinamide, topical field therapies, photodynamic therapy) to compare their effectiveness in reducing keratinocyte cancer incidence.

Service Improvement

Evaluation of large language models for guideline support

Can we use LLMs to assist in the application of clinical guidlines during the MDM?

Literature Review

Predictors of basal cell carcinoma growth

Some basal cell carcinomas will grow rapidly whereas others grow much more slowly and may not need treatment, particularly in more elderly individuals. Undertake a review of the literature to identify clinical, histological, and molecular factors associated with BCC growth and aggressiveness.

Clinical Study

Clinical study of predictors of BCC growth

Some basal cell carcinomas will grow rapidly whereas others grow much more slowly and may not need treatment, particularly in more elderly individuals. Undertake a clinical study of patients attending for Mohs surgery to assess how much the tumour grows between the time of consultation and surgery. This will likely require ethical approval.

Bioinformatics & Computational Biology

Computational projects utilizing high-dimensional datasets. Suitable for Bioinformaticians, PhD students, or Postdocs with coding experience.

Bioinformatics

Analysis of fibroblast datasets in keloid scarring

Integration of bulk and single-cell transcriptomic fibroblast datasets to identify pathways driving keloid formation and potential therapeutic targets.

Bioinformatics

Transcriptomic data analysis in cSCC

Analysis of bulk and single-cell gene expression data to identify pathways involved in cSCC initiation and progression that may be targeted for prevention.

Laboratory & Experimental Models

Wet-lab projects focused on developing advanced models to study tumour biology. Suitable for PhD students and Postdoctoral fellows.

3D Models / Wet Lab

3D spheroid models of cutaneous squamous cell carcinoma

Establishment of 3D spheroid models of cSCC to better study tumour growth, microenvironmental interactions, and treatment response.

Bioengineering / Wet Lab

Development of tumour-mutant spheroid models with reporters

Development of methods to introduce tumour-specific mutations and reporters into spheroid models to enable tracking of growth and treatment response.

Contact Us

We are always interested in hearing from motivated individuals, even if a specific project listed above isn't the perfect fit.

Please send an email to Dr Magnus Lynch containing:

  1. A CV (including any publications).
  2. A brief summary of your research interests and why you want to work with the lab.
  3. For PhD/Fellowship applicants: Information on potential funding sources or deadlines you are targeting.