Data Scientist / AI Engineer Life Science (all gender)
Core
Develop and implement machine learning and AI models to analyze biological, clinical, or technical data within regulated life science environments.
Role type
Senior IC data scientist / AI engineer (life sciences)
Builds
Production ML models, data pipelines, and analytical applications for R&D, regulatory, and quality assurance teams.
Domain
Life sciences (Pharma, Biotech, MedTech) + Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, Spark, Airflow, Docker, Cloud platforms (AWS, Azure, GCP), ETL, GxP compliance (via careerplan.io/jobs/744000153674089-data-scientist-ai-engineer-life-science-all-gender-at-alten)
Preferred skills
Experience in regulated environments (Pharma, Biotech, MedTech)
Technologies
Spark, Databricks, Snowflake, AWS, Azure, TensorFlow, PyTorch, Scikit-learn, Airflow, Docker
Responsibilities
Build and maintain data pipelines (ETL, integration, transformation); develop ML/AI models for biological/clinical/technical data analysis; perform exploratory data analysis to identify patterns and trends; collaborate with interdisciplinary R&D, IT, Regulatory, and QA teams; support validation, documentation, and GxP compliance; present results and derive data-driven recommendations.
Seniority
Senior, hands-on IC
