"Consultant Histopathologist (Pharos AI)"

About The Role

We are seeking a highly motivated, forward-thinking and experienced Consultant Histopathologist with expertise in breast cancer histopathology to join PharosAI, a multidisciplinary team at the forefront of AI-driven translational research in breast cancer. You will play a pivotal role in shaping how artificial intelligence is applied to cancer research and clinical practice, to advance precision diagnostics and therapeutic stratification in breast cancer.

In collaborating with cross-functional teams, including bioinformaticians, computer scientists, AI engineers, biologists, and clinicians, you will validate AI-generated insights by comparing them with traditional diagnostic criteria and provide clinical context to AI outputs, ensuring that models are interpretable and actionable in real-world settings. The ideal candidate will have experience working within the cancer research field, with a proven ability to undertake research, equivalent to post-PhD-level study. The candidate should be confident in troubleshooting scientific and logistical challenges, particularly during the early stages of a project, and capable to drive a research initiative from initial conceptualisation through to publication. The candidate’s ability to independently manage and deliver high-quality, impactful research will be essential to the success of this role.

This is a post that is part time, on a one-year fixed term contract.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. Medically qualified; on GMC Specialist Register for histopathology; eligible for entry on Register or within six months of receipt of Certificate of Completion of Training (CCT) in histopathology at time of interview.
2. Subspecialty expertise in breast pathology, or currently developing subspeciality expertise.
3. Demonstrates experience in digital pathology and image analysis.
4. PhD in Cancer Research or similar.
5. Familiarity with AI/ML concepts.
6. Evidence of active participation in breast cancer research with established publication record in peer reviewed journals.
7. Ability to lead research programs and supervise the work of researchers.

Desirable criteria

1. Experience of working effectively in multidisciplinary teams and shows ability and experience in presentation of data to audiences of different disciplines.
2. Knowledge of the regulatory aspects of biobanking, digital pathology and AI in clinical settings.
3. Demonstrates knowledge of bioinformatics and cancer genomics.
4. Strong organisational skills with ability to prioritise own workload and show attention to detail.
5. Energy and enthusiasm and good interpersonal and communication skills.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our 'How we Recruit' pages.

We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

Grade and Salary: Clinical Consultant CCCB ~£74k

Job ID: 123185

Close Date: 07-Sep-2025

Contact Person: Anita Grigoriadis

Contact Details: Anita.grigoriadis@kcl.ac.uk