Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- Heidelberg
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du innovative Graph-Representation-Learning-Methoden zur Datenanalyse im biomedizinischen Bereich und implementierst integrierte Pipelines mit großen Sprachmodellen.
Job Technologien
Deine Rolle im Team
- We are looking for a talented and curious Research Scientist (Machine Learning) to join our team, bringing fresh perspectives and advanced expertise to fuel innovative thinking and scientific excellence.
- If you are passionate about transforming biomedical data into actionable knowledge within a collaborative environment, this position is for you.
- Design, implement, and evaluate novel graph representation learning methods for knowledge graph reasoning and completion, and develop end-to-end pipelines that integrate graph-based reasoning with large language models.
- Hands-on experience in multi-modal learning, combining structured (graph) and unstructured (text, image, omics) data for patient-level representation learning.
- Ability to work independently and as part of an interdisciplinary team, and to drive research projects from conception to production.
Unsere Erwartungen an dich
Qualifikationen
- The ideal candidate will have:
- Algorithm design skills to tackle complex challenges in digital twin technologies.
- Familiarity with modern data science and AI techniques, including the development and application of artificial intelligence, foundation models, and agentic AI systems.
- Background in life sciences and/or biomedical domain, even minor, is highly encouraged.
- Strong engineering skills in PyTorch/PyTorch Lightning and relevant ML libraries (PyTorch Geometric, DGL, etc.) for implementing custom architectures, paired with best practices in reproducible software development (Git workflows, testing, linting, documentation, CI/CD).
- Familiarity with containerization and environment management tools (e.g., Docker, uv, Conda) and orchestration of large-scale ML experiments on cloud platforms.
- Strong problem-solving skills and scientific curiosity.
- Excellent communication, organizational, and interpersonal skills.
Erfahrung
- PhD (or equivalent experience) in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or a related field.
Unser Angebot
- This position is limited until June 30, 2028.
- A dynamic, collaborative research environment at the interface of ML and biomedical science.
- Close collaboration with our pharma partner (Sanofi) providing real-world biological problems and datasets.
- Flexible working hours and hybrid working within Germany.
- Access to a vast scientific network.
- Opportunities to publish in top academic journals and present at top academic and industry conferences.
- Mentorship and career development support, including conference attendance and networking opportunities.
- Training in how scientific teams take a high risk and high reward idea from development to early stage productization.
- International, diverse, and positive work atmosphere that fosters personal and professional growth.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
BioMed X GmbH
BioMed X ist ein eigenständiges Forschungs- und Innovationszentrum, das sich auf biomedizinische Forschung und die Entwicklung von Wirkstoffen spezialisiert hat. Das Unternehmen kooperiert mit pharmazeutischen Partnern, Forschungsinstituten und Universitäten, um wissenschaftliche Herausforderungen in gemeinsame Projekte umzusetzen. Zudem fördert es junge wissenschaftliche Talente in translationalen Forschungsumgebungen.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech
Research Scientist Machine Learning
- Ort
- Heidelberg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
