Scientific AI Platform Lead, Data Science

Try&Hire; Basel; Hybrid; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Try&Hire is seeking a senior data science leader to architect enterprise AI analysis platforms and data products for drug discovery. You will translate scientific needs into decision-ready solutions, design scalable omics pipelines and APIs, and guide multi-disciplinary teams.

You will mentor scientists and engineers, drive FAIR data practices, and present results through technical documentation and stakeholder presentations. Hybrid Basel-based role with potential permanent placement.

Qualifikationen

• PhD in AI/ML or related field or equivalent experience.
• MS degree with 5+ years post-graduate experience considered.
• 3+ years hands-on scientific data science/AI/ML in biopharma or tech.
• Experience building production-grade multimodal data platforms.
• Experience with Python, SQL, version control, testing and cloud platforms.
• Experience leading cross-functional science or engineering teams.

Aufgaben

• 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.

Kenntnisse

Cross-functional leadership

Strategic collaboration

Scientific data science

Ausbildung

PhD in AI/ML or related field

MS with 5+ years experience

Tools

Python

SQL

Version control

Testing

Cloud platforms

Snowflake

Databricks

Palantir Foundry

AWS

PyTorch

Jobbeschreibung

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