Oncologists (ST4-7) Required for AI Healthcare Research (MDT Task based Work)

Mentis AI; Remote; GBP 200,000 +; Part time

Job summary

A healthcare technology company is seeking oncology registrars to critique and improve AI models related to oncology. The role involves analysing clinical cases, preparing summaries for multidisciplinary team meetings, and evaluating AI-generated outputs. Ideal candidates will have oncology training (ST3-7) and English proficiency. This position offers flexible, part-time hours and competitive compensation of £60/hr.

Benefits

Flexible work arrangements

Competitive compensation

Professional development in medical informatics

Qualifications

• Current full license to practice and on GMC Register.
• Experience as an oncologist in the UK from ST3 to ST7.
• Proficient in English for written deliverables.

Responsibilities

• Summarise patient cases for MDT meetings.
• Analyse clinical notes and generate treatment summaries.
• Evaluate AI-generated summaries against established criteria.

Skills

Clinical decision-making

Case summarisation

Treatment planning

Oncology knowledge

English proficiency

Education

Full GMC registration

Oncology training (ST3 to ST7)

Job description

We are seeking oncology registrars (ST3-7) based in the UK to help critique and improve oncology‑specific AI models. You will work asynchronously on curated, de‑identified patient cases—summarising each case as though you were preparing for a Multidisciplinary Team Meeting (MDT) using transcribed clinical notes and summaries.

Key Responsibilities

• Cancer Types & Focus Areas: Solid tumors with emphasis on Hepatic, Brain, Pancreatic cancers and NSCLC.

• Clinical Case Analysis & MDT Summarisation: Analyse patient clinical notes and generate standardised summaries. Extract and summarise key information from Multidisciplinary Team (MDT) meeting transcripts, forming clear and concise summaries.

• Treatment Plan Summaries: Create structured treatment summaries using both clinical notes and MDT transcripts, ensuring clarity and completeness of all key information.

• Rubric & Scoring Guide Development: Design evaluation and scoring criterias based on patient and treatment summaries.

• AI Model Evaluation: Assess the quality of AI-generated summaries for both MDT and treatment plans against established criteria and guidelines.

• Clinical Guideline Compliance: Evaluate clinician treatment decisions adhere to relevant guidelines for cancer types. Validate the accuracy of AI-generated assessments of clinicians compliance to relevant guidelines.

Qualifications

• Medical registration: Current, Full license to practice and on GMC Register

• Clinical experience: Oncologist ST3 to ST7 practicing in the UK

• Language: Professional working English for written deliverables.

• Relevant experience: The ideal candidate is able to simulate clinical decision-making as the oncologist (e.g. formulating diagnoses, staging disease, and outlining treatment plans). Furthermore, they are proficient in writing clear case summaries, developing patient management plans, and preparing for mock MDTs.

Legal Status

• You will have the right to work in your country of residence.

• You will work as an independent contractor.

Why Join Us?

• Flexible Work Arrangements: Part-time and remote work options available (10–30 hours a week).

• Competitive Compensation: Hourly compensation in line with level of clinical experience (£60/hr).

• Professional Development: Gain hands‑on experience in data quality, structured data modeling, and medical informatics, with training provided on advanced labelling methodologies.

Do you know someone whose expertise might be a match for this project? Refer an expert and receive £100 if your referral completes a minimum of 10 hours of work.