Das ist der Job
Publish applied AI research in pharma to establish scientific credibility and foster a culture of excellence.
Darum lohnt es sich
Support building production-grade data science solutions within cross-functional product teams, ensuring high technical quality and measurable business impact.
Contribute to overarching initiatives such as AI strategy, monitoring key AI domains, business liaison activities, internal IT platform teams (e.g., MLOps or LLM platform), and academic collaborations. Excellent technical leadership and communication skills to conduct multi-team, cross-functional collaborations.
We are looking for a Senior Data Scientist role focused on building prototypes and production-grade data science / machine learning applications to generate measurable impact across business units in the pharmaceutical domain.
Key Responsibilities Build advanced data science and machine learning prototypes to validate new use cases in close collaboration with business stakeholders, rapidly testing feasibility and value.
Requirements Master’s degree in data science, mathematics, physics, computer science, or similar; advanced scientific degrees are desirable (e.g., PhD). 5 years of relevant experience with Python programming and common ML libraries (for Distinguished: 10 years ), e.g., scikit-learn , PyTorch , TensorFlow .
Experience with software development and deploying models with cloud platforms (e.g., AWS , Databricks ). Expertise in business domains relevant for the pharmaceutical industry (e.g., Chemistry , (Molecular-) Biology , Pharmacology , Medicine-/Bioinformatics ).
AI research experience at university or in industry labs with a strong track record of peer-reviewed publications and knowledge of new AI developments (e.g., Transformers , CNNs , LLMs , GNNs , Diffusion models , JEPA ). Primarily remote , with occasional travel to the customer site near Stuttgart.
Platform/Tool AWS databricks Library/Framework Transformers Tensorflow PyTorch scikit-learn Programming language Python Other LLM Methodology MLOps Project duration - Start date May 1, 2026 Type Contract Language on the project English Viktoriia Krut #J-18808-Ljbffr
