AI Platform Lead - Drug Discovery (Hybrid)

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

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.