Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
In this project, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong medical knowledge and diagnostic abilities in various fields of medicine.
As a medical specialist, you will bring your subject-matter knowledge to help train and evaluate frontier AI systems. Work might include:
* Design and solve advanced medical problems, ranging from diagnostic scenarios to complex clinical case reviews
* Review AI-generated answers, assessing their accuracy, depth of reasoning, and clarity
* Spot knowledge gaps and edge cases, and propose improvements to strengthen model performance
* Collaborate with AI researchers and fellow medical experts to shape training methods, evaluation strategies, and benchmarks
* Provide structured feedback and insights that guide the development of next-generation AI for medicine and science
Commitments Required: 20-30h/week with flexible schedule
The project will last ONE month.
The list of preferred Universities:
Germany:
* Ruprecht Karls University,
* Heidelberg Humboldt,
* University of Berlin,
* Free University of Munich
* University of Munich
* University of Hamburg
* Technical University of Munich
Portugal:
* Universidade do Porto
* Universidade de Lisboa
* Universidade de Coimbra
* Universidade Nova de Lisboa
* University of Minho
Requirements
* Actively practicing clinical physician with a valid medical license and at least 3 years of post-qualification experience, preferably a graduate from a top medical university in Germany or Portugal
* Background in any of the following areas is preferred: Internal Medicine, Primary Care, Pediatrics, Surgery, Anesthesia, or Diagnostic Specialties
* Strong communication skills and ability to collaborate effectively with technical research teams