Scientific AI Platform Lead, Data Science

avec compétence GmbH; Basel; Hybrid; CHF 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Interim 3–6 months, then permanent

Job summary

avec compétence GmbH in Basel, Switzerland seeks an experienced senior data science leader to translate AI needs into decision-enabling solutions and to design scalable, production-grade data platforms for omics and drug discovery. The role combines technical execution with team mentorship in a hybrid work setting.

The ideal candidate has a PhD or equivalent experience, 3+ years in biotech tech, and strong Python/SQL/cloud skills to drive FAIR data practices across projects.

Qualifications

• PhD in AI/ML or related field, or equivalent experience.
• MS degree with 5+ years of relevant post-graduate experience.
• 3+ years hands-on experience in scientific data science, AI/ML, or computational research.
• Experience building production-grade multimodal data platforms for scientific analysis.
• Experience with Python, SQL, version control, testing and cloud platforms.

Responsibilities

• 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.
• Mentor and coach data scientists, engineers and cross-functional teams.
• Communicate strategy and results through presentations and technical documentation.

Skills

AI/ML

Data science

Leadership

Cross-functional teams

Education

PhD in AI/ML

MS with 5+ years

Tools

Python

SQL

Version control

Cloud platforms

Job description

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

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

Profile

• 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

Offer

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

Company

Pharma & biotech research