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

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.

Scientific AI Platform Lead, Data Science