Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Kaiserslautern
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop probabilistic and generative models for AI-driven drug discovery, integrating biomedical expertise while modeling high-dimensional, multimodal data sources.
Job Technologies
Your role in the team
- Are you interested in machine learning beyond the "Black Box"? Here at the German Research Center for Artificial Intelligence based in Kaiserslautern, we are looking for passionate researchers (m/f/d/x) for our growing research department: Data Science and its Applications (DSA).
- At DSA, our mission is to make a positive contribution to society through Data Science and AI. We work on application-oriented problems in research and industry, consistently foster a culture of collaboration, and place great importance on a healthy, productive, and harmonious work environment.
- The primary application area of this project is AI-driven biomarker discovery, with a particular focus on integrating probabilistic generative models and biomedical knowledge graphs.
- The research addresses the challenges arising from high-dimensional, heterogeneous biomedical data, including multi-omics profiles, molecular structures, clinical annotations, and curated networks of biological interactions.
- A central goal is the joint modeling of multimodal data sources to enable robust inferences, uncertainty-aware predictions, and biologically meaningful insights.
- By combining modern machine learning approaches—such as generative models and large language models—with structured domain knowledge, the project aims to uncover novel interactions between active substances and target molecules, identify promising therapeutic candidates, and support evidence-based decision-making in complex biological systems.
- Special emphasis is placed on quantifying uncertainties, interpretability, and the integration of domain expertise to ensure reliable and societally relevant AI solutions in bioinformatics and translational research.
- In this position, you will support the management of a project for the development of probabilistic and generative machine learning models for AI-driven drug discovery.
- A central focus is on the direct integration of biomedical expertise - particularly in the form of knowledge graphs and structured biological A-priori information - into the learning and inference process.
- These models are designed for processing high-dimensional, multimodal biomedical data, including molecular structures, omics data, clinical information, and knowledge derived from scientific literature.
- Special emphasis is placed on scalable training algorithms and advanced sampling strategies.
- You contribute to linking base models through principle-oriented use of adapters and parameter-efficient fine-tuning with prior knowledge, as well as developing specialized agent-based systems capable of querying biomedical knowledge graphs and clinical data.
- You collaborate with early-career scientists and students to systematically achieve project goals and plan publications in reputable scientific journals.
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Our expectations of you
Education
- Researcher/PhD-Level (m/f/d/x): A master's degree in computer science, data science, artificial intelligence, bioinformatics, or a closely related field is essential.
Qualifications
- Senior Researcher/Postdoc (m/f/d/x): A PhD (doctoral degree) is preferred.
- In-depth knowledge in the fields of machine learning, probabilistic modeling, and deep learning.
- Knowledge of generative models (e.g., VAEs, diffusion models, normalizing flows, or energy-based models).
- Understanding of uncertainty quantification, Bayesian inference, or probabilistic thinking.
- Interest in biomedical applications, particularly in drug research, knowledge graphs, or multimodal integration of biological data.
- Familiarity with modeling structured data, graphical neural networks, or learning knowledge graph representations is a big plus.
- Strong analytical thinking skills and the ability to work independently in a research-oriented environment.
- Excellent communication skills in English (both written and verbal).
- Motivation to work in an interdisciplinary and collaborative research environment that combines AI and life sciences.
Experience
- Solid programming skills in Python and experience with modern ML frameworks (e.g., PyTorch).
- Experience with large language models or multimodal learning approaches is advantageous.
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What we offer
- Competitive compensation and benefits.
- Participation in highly relevant projects within a diverse, motivated, and interdisciplinary team.
- Work on highly relevant scientific and societal topics while simultaneously expanding your expertise in forward-looking areas.
- Practice-oriented, applied research with a strong practical focus – we do not just discuss theory but actively implement solutions in our field within science and industry.
- Excellent network with outstanding contacts in industry and academia.
- Flexible working hours with the option for home office in accordance with the internal DFKI policy.
- Salaries are determined based on educational background and professional experience and are uniformly set by the DFKI HR department.
- Our salaries are competitive in the German market, and we enjoy a good reputation as an employer.
- In particular, our department places great importance on providing an excellent working environment for our diverse team.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Dfki Gmbh
Das Deutsche Forschungszentrum für Künstliche Intelligenz GmbH (DFKI) ist auf dem Gebiet innovativer Softwaretechnologien auf der Basis von Methoden der Künstlichen Intelligenz die führende wirtschaftsnahe Forschungseinrichtung Deutschlands.
Description
- Company Size
- 1-49 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Public Service, Unions, Science, Research
Researcher in Biologically Informed Machine Learning and AI
- Location
- Kaiserslautern
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
