Scientific AI Platform Lead, Data Science in Basel

You will build enterprise-grade AI analysis platforms and data products to accelerate drug discovery within a disease-area data science team.

Your tasks

• Translate scientific and operational AI needs into decision-enabling solutions
• Design, build and sustain scalable AI-focused omics pipelines, APIs and data products
• Scale AI workflows using reproducible, transparent, secure and FAIR data practices
• Prioritize resources against evolving research needs
• Establish project evaluation, deployment, lifecycle and governance practices
• Mentor and coach data scientists, engineers and cross-functional teams
• Communicate strategy and results through presentations and technical documentation

What you bring

• PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science or related field, or equivalent experience
• MS degree with 5+ years of relevant post-graduate experience also considered
• 3+ years hands-on experience in scientific data science, AI/ML or computational research in biopharma or technology
• Experience building production-grade multimodal data platforms for scientific analysis
• Experience with software or data engineering practices including Python, SQL, version control, testing and cloud platforms
• Experience leading cross-functional science or engineering teams

Conditions

• Workload: 100 %
• Work model: Hybrid
• Option of a permanent position after the assignment if both sides want it

What to expect

• Hybrid work model
• 3-6 months interim, then a permanent position

Technologies

• Python
• SQL
• Pytorch
• Snowflake
• Databricks
• Palantir Foundry
• AWS

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