Descripción We are seeking a highly motivated graduate researcher to join the EXPOGEN-AI project within the Digital Genomics Group, Cancer Genomics Program at CNIO.
This is a unique opportunity to investigate how environmental exposures shape the genomic architecture of lung cancer by integrating exposome data, cancer genomics, and advanced artificial intelligence methods.
EXPOGEN-AI is supported by the Community of Madrid (César Nombela grant) and involves national and international collaborations.
The project aims to identify mutational signatures, model exposure-driven cancer risk, and develop digital twin strategies to better understand disease mechanisms and support prevention and precision oncology.
The project is led by Dr. Karen Gonçalves and will be developed within the Digital Genomics Group, led by Dr. Marcos Díaz-Gay.
The group has recently demonstrated significant impact in applying these methodologies across different cancer types, including lung cancer (Díaz-Gay, Zhang, et al. , Nature) and colorectal cancer (Díaz-Gay, dos Santos, et al. , Nature).




Key responsibilities of the position:
- Integrate and analyze environmental, epidemiological, clinical, and genomic data from cancer cohorts.
- Develop and apply computational and advanced statistical approaches for exposome-informed cancer research.
- Analyze somatic alterations and mutational signatures in relation to environmental and lifestyle exposures.
- Apply machine learning and AI approaches to multimodal data integration.
- Collaborate with national and international research partners.
- Disseminate research through lab meetings, conferences, and peer-reviewed publications.
- Contribute to a collaborative, supportive, and inclusive work environment.
The application should include:
- C.V.
- Motivation letter.
- 2–3 reference contacts.
Criterios de evaluación – Essential experience and skills:
- M.S. in epidemiology, data science, bioinformatics, computational biology, biomedicine, computer science,

📌 Predoctoral Research Assistant For The Digital Genomics Group (España)
🏢 CNIO
📍 España