Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop robust data pipelines for clinical data and lead statistical analyses. You will apply ML methods, build dashboards, and document data quality for regulatory compliance.
Job Technologies
Your role in the team
- Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud.
- Own statistical analysis across clinical studies, diagnostic performance, model evaluation, and data quality.
- Apply classical machine learning and deep learning methods to data analysis problems.
- Use LLM-based methods to extract structured data from clinical documents and reports.
- Build dashboards and data observability tooling.
- Investigate and document missing, inconsistent, invalid, and implausible data.
- Maintain strong data lineage, provenance, traceability, and reproducibility across data workflows.
- Produce analyses and supporting evidence that hold up in regulatory submissions and audits.
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Our expectations of you
Qualifications
- Strong statistical depth applied to messy clinical or diagnostic data.
- A track record of building and maintaining data pipelines at scale.
- Comfort working with medical imaging formats including DICOM and NIfTI.
- Working fluency with deep learning and modern LLM tooling.
- A strong working understanding of data lineage, provenance, traceability, and reproducibility.
- Unusual attention to detail around data completeness, validity, consistency, and edge cases.
- Flexibility in adapting to new technologies
- Awareness of good software practices
Experience
- 3+ years of relevant full-time experience in data science, data engineering, medical AI, medical imaging, or a closely related field.
- Practical experience with classical machine learning and explainable ML.
- Experience with cloud data infrastructure. We use GCP, but equivalent platforms are fine.
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What we offer
- Mission with real impact - Your work directly improves how cancer patients are diagnosed and treated.
- Ground-floor opportunity - Early-stage company, meaningful equity, and outsized influence on the direction we take.
- World-class collaborators - Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally.
- Massive market tailwinds - Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets.
- Autonomy and flexibility - Remote-first, flexible working. We hire great people and trust them to deliver.
- Equity upside - Competitive equity package. We're building something big and want you to share in it.
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Topics You Will Work On
Job Locations
About Your Employer
Nucs AI
Nucs AI, a MedTech company based in Berlin, develops AI technologies for the analysis of medical imaging data. The focus is on automated detection and monitoring of prostate cancer to enhance clinical workflows and support personalized treatment decisions.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Data Scientist/Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
