Job
- Level
- Erfahren
- Ort
- Heidelberg
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Position entwirfst und entwickelst du die Infrastruktur zur Integration multimodaler klinischer Daten und bereitest sie für KI-Modelle auf, während du wet-lab Forschungsfragen in Datenstrukturen umsetzt.
Job Technologien
Deine Rolle im Team
- Architect the scientific data engine: design, build and scale the infrastructure that unifies multi-omics, spatial transcriptomics, digital pathology, radiological imaging and clinical data.
- Make data AI-ready: harmonise and standardise multimodal datasets for deep-learning models and agentic workflows, working hand-in-hand with our machine-learning and computer-vision scientists.
- Bridge the disciplines: be the link between wet-lab researchers, clinical oncologists and IT scientists, translating biological questions into data schemas.
- Own rigour and compliance: implement biomedical metadata standards and GDPR-grade governance for sensitive patient data.
Unsere Erwartungen an dich
Qualifikationen
- Depth in at least one modality - multi-omics, spatial biology, digital pathology or medical imaging - and familiarity with biomedical metadata standards.
- A pioneering mindset: self-driven, curious and motivated by turning advanced technology into real patient impact in an agile startup.
Erfahrung
- PhD, or MSc with 2+ years of experience, in bioinformatics, computational biology, computer science, biomedical engineering or a related quantitative field.
- Demonstrated mastery in structuring and integrating complex biological or clinical datasets; hands-on experience with real-world patient data is a strong plus.
- Advanced Python and modern software-engineering practice; experience with database architecture, data tooling for biological workflows or AI coding assistants is highly valued.
Unser Angebot
- Direct patient impact: your work feeds models built for an aggressive cancer with few options - every well-structured dataset moves us closer to patient-matched therapy.
- Founding leadership: as our first Heidelberg team member you shape the technology stack, the architecture and the hub.
- World-class network: close collaboration with DKFZ, leading European clinical centres and international consortium partners.
- Package and trajectory: competitive compensation, hybrid working, and a career path that accelerates as aiPTO scales.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
AIPTO TechBio
AIPTO TechBio ist ein Spin-off des Deutschen Krebsforschungszentrums (DKFZ) in Basel. Das Unternehmen nutzt patientenabgeleitete Tumor-Modelle in Kombination mit generativer KI, um die Vorhersage individueller Therapieantworten zu verbessern und personalisierte Behandlungen von Krebs zu fördern. Der Fokus liegt zunächst auf der Entwicklung von Lösungen für Hirntumoren.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech
Data Engineer / Scientist - Multimodal Clinical Data Integration & AI
- Ort
- Heidelberg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
