The International Neurodegenerative Disorders Research Center (INDRC) is a private, not-for-profit research institute bringing together leading experts in neurodegeneration and artificial intelligence to achieve breakthroughs in the treatment and prevention of Alzheimer's disease and other neurodegenerative diseases. INDRC was established in 2021 as an international institute with a transparent governance model and a new research organization within an ecosystem of committed partners, including universities, research institutes, clinical centers and collaborating companies. For more information about the research institute, please visit the INDRC website and the social network LinkedIn.
The prestigious European CLARA grant, which is an interdisciplinary centre of excellence, focused on the use of artificial intelligence, quantum computing and supercomputing to push the boundaries of research on the human brain, its structure, and neurodegeneration, particularly Alzheimer's disease. Through breakthrough technologies and scientific research design, the project aims to bring together fragmented disciplinary knowledge, large-scale biological and clinical data to contribute to a better understanding of the origins and prevention of these diseases.
CLARA is a project of European significance and is funded by the European call Teaming for Excellence and the Czech part of Teaming-CZII announced by the Ministry of Education, Youth and Sports of the Czech Republic in total amount of EUR 43M.
We are looking for a new colleague to join the CLARA project and other INDRC research projects as Researcher/Post Doc.
This role will require a candidate who strives to deal with multimodal non-linear data, develop and implement sophisticated large foundational models / agentic workflows for knowledge extraction, multi-omics analytics, patient clustering and stratification.
- Advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Biomedical Engineering, Computational Biology, Bioinformatics, or a related quantitative field.
- Strong foundation in machine learning, deep learning, and statistical modeling.
- Expertise in advanced machine learning and deep learning techniques including clustering algorithms, supervised and unsupervised learning models.
- Strong programming skills in Python and relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with predictive analytics and prognostic modeling (advantage - including disease progression and treatment response forecasting).
- Knowledge of retrieval-augmented generation (RAG) AI systems, large language models (LLMs), semantic retrieval, and knowledge graph integration.
- Experience building interactive dashboards and data visualization tools for clinical or research applications.
- The ideal candidate should be both mathematically talented and familiar with the complexities of biology.
- Proficiency with multimodal data integration techniques involving clinical records, medical imaging (e.g., MRI), genetics, biomarkers, and multiomic datasets.
- Familiarity with AI-driven patient stratification or similar clinical trial analytics applications.
- Experience in federated learning architectures and privacy-preserving AI approaches to enable decentralized model training.
- Ability to review and synthesize scientific literature and domain-specific knowledge through AI-enhanced tools.
- Capacity for hypothesis generation and translational insights relevant to precision medicine and clinical research.
- Strong written and verbal communication skills to collaborate with clinicians, trial designers, and data scientists.
- Understanding of clinical trial design, patient recruitment challenges, and biological heterogeneity in diseases, preferably with experience in neurodegenerative disease such as Alzheimer's.
- Familiarity with clinical and biomedical data privacy regulations such as GDPR and HIPAA.
- Ability to interpret multimodal biomedical data and translate AI-driven insights into clinical trial strategies.
- Experience working with API integrations and deploying AI models for real-world clinical applications.
- Adaptability to evolving AI technologies and clinical research methodologies.
- Attention to regulatory compliance, transparency, and auditability in AI systems.
Job Status: Full-time or by agreement
Starting Date: January 1st, 2025, or by agreement
Employment Relationship: Employment contract
Location: Prague/ Hybrid (Home Office)
Please send us a cover letter in English containing specific experience, including reference projects / publications, and a structured CV in English by December 22, 2025.
Nechcete odpovídat na mobilu? Nechte si nabídku připomenout později.
