Senior AI Scientist / Data Scientist - Pharma - 100% Remote

Project overview

For one of our clients in the pharmaceutical industry, we are currently looking for an experienced freelance AI Scientist / Data Scientist.

Responsibilities

Project-related activities

General activities

• Expert advice on the conception and evaluation of scalable approaches for integrating Whole Slide Images (WSI) from external platforms into internal big data environments, including recommendations on data quality, integrity checks, and various WSI formats.
• Development and evaluation of concepts for de-identifying WSI-related data, including metadata, file names, and embedded information, in compliance with relevant data protection and compliance requirements.
• Consultation on dataset governance, data versioning, and traceability, including dataset registries, management of training and validation datasets, model lineage, and reproducibility standards.
• Technical review and evaluation of AI/ML architectures, data processing pipelines, and implementation approaches, as well as development of recommendations for scalable and scientifically sound solutions.
• Creation of expert analyses in compliance with relevant AI/ML standards and regulatory requirements, as well as conducting technical assessments and developing recommendations and project-specific results according to agreed timelines and project goals.
• Contribution of expert knowledge on current AI/ML methods, reproducible research practices, and industry best practices.
• Technical review and consultation on the work results of external service providers and project partners.

Requirements

Interested?

Then please send me your current CV and briefly answer the following questions:

• Master's degree, preferably a PhD, in Computer Science, Statistics, Computational Biology, or a related field.
• At least five years of experience in Data Science, Business Intelligence, or Statistics related to AI/ML projects in clinical research, the pharmaceutical industry, at a CRO, or in the medical technology field.
• Extensive experience with the Python technology stack, e.g., pandas, NumPy, scikit-learn, scikit-survival, Matplotlib, Seaborn, and SHAP, as well as with virtual environments and version control, e.g., Git.
• Very good knowledge of machine learning algorithms for clustering, classification, regression, anomaly detection, and optimization, ideally for small and large datasets.
• Experience with AI/ML applications in oncology, e.g., with transcriptomic data or foundation models like scConcept, is an advantage.
• Experience with cloud platforms, preferably AWS and Google Cloud.
• Very good English skills as well as strong oral and written communication and storytelling abilities, especially in conveying complex content understandably.
• German language skills are an advantage.
• How many years of experience do you have as an AI Scientist or Data Scientist in the pharmaceutical industry?
• When are you available?
• What hourly rate can you offer?

Project details

• Utilization: Full-time, 5 days per week
• Start: November/December 2026
• Location: 100% Remote
• Duration: 6 months, option to extend
• Applications: Applications from all over the EU are possible
• Interview Process: Two rounds of interviews, 30-minute introductory meeting and 60-minute technical interview
• Maximum Hourly Rate: 50 to 75 Euros
• Start: 2026-11
• Duration: 6 Monate
• Remote: remote
• Location: 100 Remote, Deutschland, DE
• Rate: 50-75 EUR/h
• Languages: German