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AI Data Scientist (m/w/d) (Pharma/MedTech)

Hiring from
Europe
Work type
Remote
Posted
Sep 25, 2026
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We are currently looking for a Principal AI Scientist (m/f/d) for one of our clients in the pharmaceutical industry.

Project Details

  • Workload: Full-time (5 days/week)
  • Start: October 2026
  • Duration: 12 months (with option to extend)
  • Location: 100% Remote
  • Eligibility: Applications from across the EU are welcome
  • Interview Process: 2 Rounds (30-min Intro | 60-min Technical Interview)

Project Level Activities

    • Provide subject matter expertise in the design and evaluation of scalable approaches for Whole-Slide Image (WSI) integration from external platforms into internal big data environments, including recommendations for data quality, integrity verification and handling of different WSI formats.
    • Develop and assess concepts for the de-identification of WSI-related data, including metadata, filenames and embedded information, ensuring alignment with applicable privacy and compliance requirements.
    • Provide expertise on dataset governance, data versioning and traceability concepts, including recommendations regarding dataset registries, training and validation split management, model lineage and reproducibility standards.
    • Conduct technical reviews and assessments of AI/ML architectures, data processing workflows and implementation approaches, providing recommendations to support scalable and scientifically robust solutions.
In General

    • Deliver expert analysis, technical assessments, recommendations and project-specific deliverables in accordance with agreed timelines and project objectives.
    • Contribute subject matter expertise on state-of-the-art AI/ML methodologies, reproducible research practices and industry best practices to support high-quality project outcomes.
    • Provide technical review and advisory support regarding deliverables from external vendors and project partners, where required.
    • Advise project stakeholders on relevant regulatory, compliance and quality considerations applicable to AI/ML solutions within the life sciences
    • MSc (PhD preferable) in computer science, statistics, computational biology or related fields advantageous
    • Must have: experience with Computational Pathology and Data/ML Ops
    • At least 5 years of experience in data science / business intelligence / statistics role supporting AI/ML projects in clinical research, pharmaceutical, CRO or medical device setting
    • Extensive programming experience in Python technology stack (pandas, numpy, scikit-learn, scikit-survival, matplotlib, seaborn, shap etc.) and experience in working with virtual environments and version control (e.g. git)
    • Excellent knowledge of machine learning algorithms for clustering, classification, regression, anomaly detection, and optimization, preferably with both small and big data
    • Experience in AI/ML applications in cardiology will be considered a plus
    • Exposure to cloud computing platforms, preferably AWS and Google Cloud
    • Excellent English language skills, storytelling and communications skills both oral and written, especially in explaining complex concepts in simple terms
    • Attractive options for shortening your personal payment term
    • No more time-consuming invoicing
    • Fast, reliable payment of fees
    • Conclude project contracts by means of electronic signature

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