AI & Data Science PhD Role - Clinical Diagnosis Innovation in Madrid
Virtual Desk is seeking a highly qualified PhD holder to join a groundbreaking public-private research initiative in Madrid, Spain.
This role focuses on leveraging artificial intelligence to enhance clinical diagnostic processes.
The ideal candidate will contribute to developing predictive models that integrate medical imaging and patient data, aiming to significantly improve healthcare outcomes.
Join a forward-thinking team dedicated to digital transformation through AI and automation.
This exciting opportunity involves collaborating with a leading hospital to build an LLM-based model for extracting structured insights from electronic health records.
You will be instrumental in implementing this model within a web platform alongside a technology partner, ensuring its clinical and multicenter validation.
Your expertise will also be crucial in preparing technical documentation and contributing to scientific publications, advancing the field of medical AI.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Information Technology and Services |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | Virtual Desk |
| Occupational Category: | Research and Development |
| Employment Type: | full-time |
| Advertisement Source: | Eurojobs |
| Job Location: | Madrid |
| Country of Appointment: | Spain |
| Employer Department: | Research and Development |
| Work Hours: | Majority remote work |
Further Details
This position offers a unique chance for a Doctor in Computer Science, Engineering, Mathematics, or a related field to engage in advanced AI research for clinical applications in Madrid. The project aims to develop a multimodal predictive model using AI to improve patient diagnosis, integrating imaging and complex clinical datasets. The role emphasizes collaborative research within a public-private partnership setting, driving innovation in healthcare technology. Key responsibilities include deploying the developed model on a web platform and contributing to its rigorous clinical validation. The role also requires generating technical documentation and participating in scientific dissemination through publications. Explore these Information Technology and Services jobs in Madrid with competitive benefits. This is an excellent opportunity for a researcher looking to make a tangible impact in the healthcare sector while working within a dynamic and expert team.
Data Scientist - Clinical AI Research in Madrid
Virtual Desk is spearheading digital transformation efforts by integrating Artificial Intelligence and automation within major organizations. We are actively seeking a highly skilled PhD holder for a vital research and development project. This initiative, a collaboration between public and private entities, is dedicated to enhancing clinical diagnostics through advanced AI techniques. The primary focus will be on creating sophisticated predictive models that synergistically combine medical imaging data with patient clinical information, aiming to achieve significant improvements in patient care and diagnostic accuracy.
This role presents an exceptional career development opportunity within a leading-edge technological environment. You will work closely with a prominent hospital partner to construct an innovative LLM-based model designed to extract structured information from complex clinical histories. A key aspect of this position involves deploying the model onto a dedicated web platform, supported by a strategic technology associate, and overseeing its thorough clinical and multicenter validation. Furthermore, your contributions will extend to crafting essential technical documentation and actively participating in the dissemination of findings through scientific publications, thereby advancing the field of AI in healthcare.
- Job Title: Doctor/a en Data Science e IA
- Location: Madrid, Spain
- Company: Virtual Desk
- Posted: 03 November, 2026
- Closing Date: 18 December, 2026
- Key Requirements: PhD in a relevant technical field, Machine Learning expertise, Image Processing/NLP experience, Data Handling skills.
- Preferred Qualifications: Biomedical experience (medical imaging, radiomics, clinical text), LLM and RAG, multimodal models, regulatory environment experience, research publication record.
Skills
- Doctorate in Computer Science, Engineering, Mathematics, Physics, or related field
- Experience with machine learning and predictive models
- Experience in image processing or NLP
- Proficiency in handling complex and heterogeneous data
- Understanding of model validation, robustness, and interpretability
Duties and Responsibilities:
- Develop a multimodal predictive model integrating image and clinical data
- Collaborate with a hospital to create an LLM-based model for clinical text analysis
- Implement the developed model on a web platform with a technology partner
- Participate in clinical and multicenter validation of the model
- Prepare technical documentation and contribute to scientific publications
How to apply
- 💼 Review the detailed job description and ensure you meet the essential qualifications for this advanced Data Science and AI research position in Madrid.
- 🎓 Confirm your academic background includes a Doctorate (PhD) in Computer Science, Engineering, Mathematics, Physics, or a closely related discipline.
- 🔎 Verify your experience in machine learning, predictive modeling, and handling complex data, along with proficiency in image processing or NLP.
- 📝 Prepare a comprehensive Curriculum Vitae (CV) and any supporting documents, highlighting relevant research projects, publications, and technical skills, especially in LLM and RAG technologies if applicable.
- 👉 Access the application portal via the provided link to submit your application for the Doctor/a en Data Science e IA role.
- 📅 Ensure your application is submitted by the closing date of 18 December, 2026, to be considered for this exciting opportunity.
- 🌐 This role primarily involves remote work, offering flexibility for candidates.
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