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Mentis AI is currently seeking a medical oncologist with expertise to participate in a groundbreaking AI research project. This initiative involves enhancing clinical decision-making models focused on oncology through expert analysis. The role is suitable for oncologists located in Europe, particularly those holding a current, unrestricted medical license in an EU/EEA member state or the UK. As an independent contractor, the position offers flexibility with part-time, remote work options ranging from 10 to 30 hours per week.
The selected candidate will engage in various tasks critical to the success of the research project. These include:
Clinical Case Review: Analyzing full patient records—including clinical notes, pathology, imaging summaries, genomics, and treatment history—provided in a secure workspace.
Simulated Decision-Making: Formulating diagnostic impressions and performing relevant staging, such as TNM and FIGO.
Drafting Management Plans: Creating evidence-based management plans that include systemic therapy, radiation, surgery, or palliative care options based on current medical guidelines.
Structured Documentation: Producing clear and well-structured case summaries and rationales to facilitate AI model evaluation and training.
Mock Multidisciplinary Team (MDT) Preparation: Submitting documented briefs in preparation for mock Tumour Board meetings.
Quality & Governance: Applying clinical guidelines from reputable organizations, such as NICE, ESMO, or NCCN, while ensuring accuracy and proper sourcing in documentation.
Candidates interested in this role should meet certain qualifications:
Medical Registration: The applicant must possess a valid medical license in the EU/EEA or the UK, such as GMC Specialist Register or IMC.
Clinical Experience: A minimum of ST3 in oncology or a non-UK equivalent with at least three years of specialist experience is required. Higher competencies at the ST5 level are ideal.
Language Skills: Proficiency in written English is necessary, especially for preparing reports and case summaries.
Relevant Experience: Ideal candidates should be proficient in simulating clinical decision-making, including diagnosing, staging, and proposing treatment plans. They should excel in writing clear case summaries and preparing documentation for mock Tumour Board discussions.
While specific salary details are not provided, candidates can expect competitive hourly compensation, which will correspond to their level of clinical expertise. This role is designed for medical professionals who highly value flexible work arrangements, allowing them to balance their professional schedules with personal commitments.
Being part of this initiative also offers opportunities for professional development, providing candidates with hands-on experience in essential areas such as data quality and medical informatics. Training will be given on advanced labeling methodologies, making this a great opportunity to enhance one's skill set in the evolving field of AI in healthcare.
Mentis AI partners with leading AI labs and research institutions to unlock the potential of expert human data for the advancement of AI technologies. By joining this project, you will be contributing to significant improvements in oncology-focused clinical decision support systems, which can have a lasting impact on patient care. The organization promotes flexibility in work, competitive compensation, and invaluable professional development, making it an ideal choice for oncologists looking to combine their clinical acumen with innovative research.
This job offer was originally published on jooble.com
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