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# Data Engineer / Scientist - Multimodal Clinical Data Integration & AI

- **Company:** AIPTO TechBio
- **Location:** Heidelberg, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Bioinformatics, Clinical Data Repository, Computational Biology, Databases, Information Engineering, Python (Programming Language), Machine Learning, Metadata Standards, Deep Learning, Information Technology
- **Published:** September 25, 2026
- **Apply:** https://www.adzuna.de/details/5896960609

## About the Role

* 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
 * Depth in at least one modality - multi-omics, spatial biology, digital pathology or medical imaging - and familiarity with biomedical metadata standards
 * Advanced Python and modern software-engineering practice; experience with database architecture, data tooling for biological workflows or AI coding assistants is highly valued
 * A pioneering mindset: self-driven, curious and motivated by turning advanced technology into real patient impact in an agile startup

## Description

* 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


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