Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Heidelberg
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du automatisierte Bildanalyse-Workflows, implementierst Machine Learning-Methoden zur Datenauswertung und koordinierst Projekte zur Datenverwaltung innerhalb interdisziplinärer Forschungsteams.
Job Technologien
Deine Rolle im Team
- Design, implement and refine automated image analysis workflows, including machine learning-based methods for segmentation, feature extraction and multidimensional molecular and morphological feature-based classification in complex datasets.
- Collaborate closely with experimental scientists to develop scalable, robust and automated data pipelines and flexible toolsets to support diverse microscopy-based research projects, including the integration of multimodal datasets (e.g., imaging, omics and spatial omics).
- Serve as the primary point of contact for planning, coordinating and advising on image analysis projects within IDIP and the SynthImmune consortium.
- Work in close partnership with leading AI-based data analysis research groups on campus to co-develop and implement innovative computational approaches for consortium-wide challenges.
- Lead the implementation of data management practices across the SynthImmune consortium, promoting standardization and best practices.
- Ensure compliance with FAIR (Findable, Accessible, Interoperable, Reproducible) data principles in collaboration with IT teams.
- Foster interdisciplinary collaboration by actively engaging with researchers across biology, bioinformatics and data science.
- Train and support scientists in coding, automated workflows and image analysis best practices to build sustainable in-house expertise.
Unsere Erwartungen an dich
Qualifikationen
- PhD in any field with strong bioimage analysis component, computer science, data science, computational biology or a related field.
- Strong programming and data analysis skills, with demonstrated expertise in Python and scientific computing ecosystems.
- Collaboration-oriented mindset with high self-motivation, reliability and the ability to manage and prioritize multiple projects.
- Excellent ability to communicate complex computational and analytical concepts in a clear and accessible manner, particularly in training and teaching contexts.
- Strong analytical thinking and creativity in problem-solving.
Erfahrung
- Several years of relevant professional experience in a research environment (e.g., academic research group, core facility, company).
- Proven experience in developing and applying deep learning methods for image analysis, such as convolutional neural networks (CNNs) for segmentation and classification.
- Practical experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and model training, evaluation and optimization on large-scale datasets.
- Experience with bioimage analysis tools and environments (e.g., FIJI/ImageJ, Jupyter, CellProfiler, Napari), and the ability to adapt and extend them for complex workflows.
- Experience in developing automated, scalable, and reproducible data analysis pipelines.
- Experience with research data management, including handling large datasets and implementing FAIR data principles, is an asset.
Unser Angebot
- The position is remunerated according to TV-L E 13.
- The position can be filled in part-time.
- We offer the opportunity to work in a highly interdisciplinary and collaborative environment at the forefront of infectious disease research and synthetic immunology, with access to state-of-the-art imaging infrastructure and strong connections to leading computational and AI research groups.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Heidelberg University
Die Universität Heidelberg versteht sich als international ausgerichtete, aus ihrer Tradition die Zukunft mitgestaltende Forschungs- und Lehreinrichtung mit einem vielfaltigen Spektrum an Fächern und Disziplinen. Sie bekennt sich zu ihrer Verantwortung gegenüber Mensch, Gesellschaft und Natur und will ihr Wissen und Können in einer offenen, vorurteilsfreien Haltung gegenüber Menschen und Ideen entwickeln, nutzbar machen und an nachfolgende Generationen weitergeben.
Description
- Gründungsjahr
- 1386
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Bildungswesen
Research Data Scientist/Research Data Manager
- Ort
- Heidelberg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
