Researcher / Post-Doc

Pracovní nabídka

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.

What will be your job description?

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.

What qualities must a suitable candidate have?

• Educational Background:

- 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.

• Technical Skills – required:

- 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.

• Technical Skills – advantage to have:

- 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.

• Research and Communication – required:

- 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.

• Domain Knowledge – advantage:

- 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.

• Other Desired Attributes:

- 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.

What do we do, what do we offer and what can you be a part of?

• Excellent science and research: we cooperate with internationally renowned scientists from the Czech Republic and abroad, top scientists in the field of artificial intelligence and brain research.
• Motivating work environment: We work on prestigious projects with a real-world impact, and we are part of international teams of experienced professionals
• Friendly team: we stick together, and good working relationships, mutual trust and openness are essential for the functioning of our team.
• Flexible work: home office and flexible working hours are available.
• 30 days of vacation + meal allowance of 100 CZK per working day.

Job Status: Full-time or by agreement

Starting Date: January 1st, 2025, or by agreement

Employment Relationship: Employment contract

Location: Prague/ Hybrid (Home Office)

Interested in joining our team?

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.