Scientist – Assay Data, AI & Workflows

avec compétence GmbH; Basel; On-site; CHF 140,000 - 210,000; Full time

Job summary

Pharmaceutical research in Basel is seeking a data pipeline designer and agentic AI workflow developer for a pharmaceutical research environment. You will design data pipelines connecting laboratory instruments to FAIR-compliant data systems and lead rollout and training for assay development and screening LIMS with traceable data trails.

The role requires strong programming proficiency, collaboration with bench scientists, and experience with LIMS/ELN environments and DoE frameworks.

Qualifications

• PhD or MS in Computational Biology, Scientific Informatics, Bioinformatics or related quantitative discipline.
• Experience with cellular, biochemical or biophysical systems.
• Familiarity with FAIR data management standards.
• Experience with laboratory informatics environments such as LIMS or ELNs.
• Strong programming proficiency including database building and ML/LLM API integration.
• Collaborative communicator able to train cross-functional users.

Responsibilities

• Lead rollout and training for assay development and screening LIMS with traceable data trails.
• Design and integrate agentic AI tools and Design of Experiments frameworks.
• Build pipelines connecting raw instrument outputs to databases for FAIR data standards.
• Coordinate user onboarding and train bench scientists on platform adoption.
• Accelerate assay design and execution times and reduce processing error rates.

Skills

Programming proficiency (db building,

Education

PhD or MS in Computational Biology or related

Tools

LIMS

ELN

Job description

You will design data pipelines and agentic AI workflows that connect laboratory instruments to FAIR-compliant data systems in a pharmaceutical research environment.

Tasks

• Lead rollout and training for assay development and screening LIMS with traceable data trails
• Design and integrate agentic AI tools and Design of Experiments frameworks
• Build pipelines connecting raw instrument outputs to databases for FAIR data standards
• Coordinate user onboarding and train bench scientists on platform adoption
• Accelerate assay design and execution times and reduce processing error rates

Profile

• PhD or MS in Computational Biology, Scientific Informatics, Bioinformatics or related quantitative discipline
• Experience with cellular, biochemical or biophysical systems
• Familiarity with FAIR data management standards
• Experience with laboratory informatics environments such as LIMS or electronic lab notebooks
• Strong programming proficiency including database building and ML/LLM API integration
• Collaborative communicator able to train cross-functional users

Company

Pharmaceutical research