AI-Driven Assay Data & Workflow Scientist

avec compétence GmbH

Basel

On-site

CHF 140,000 - 210,000

Full time

29 hours ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

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.