Job
- Level
- Experienced
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you design and develop the infrastructure to integrate multimodal clinical data, preparing it for AI models, while translating wet-lab research questions into data structures.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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What we offer
- 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.
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Topics You Will Work On
Job Locations
About Your Employer
AIPTO TechBio
AIPTO TechBio is a spin-off of the German Cancer Research Center (DKFZ) based in Basel. The company utilizes patient-derived tumor models combined with generative AI to enhance the prediction of individual therapy responses and support personalized cancer treatments. The focus is initially on developing solutions for brain cancer.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Data Engineer / Scientist - Multimodal Clinical Data Integration & AI
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
