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
Provide input on project evaluation, deployment, lifecycle, and governance practices
Support onboarding of external vendors and service providers
Present strategy, implementation details and results internally and externally

What you bring

BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science, mathematics, physics or related
3+ years hands-on experience in scientific data science, engineering or AI/ML in biopharma or technology
Experience building production-grade multimodal data platforms for scientific analysis
Experience with omics analysis pipelines, LLM patterns, agent orchestration and deep learning frameworks preferred
Practical experience in software or data engineering including Python, SQL, version control, testing, cloud platforms
Strong communication and interpersonal skills

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 Expert