Scientist – Assay Data, AI & Workflows
Publié par Try&Hire sur mandat d'un client · Référence TAH-X7FXQ
- Discipline
- Data Engineer
- Région
- Bâle-Ville, Basel (BS)
- Client
- Pharmaceutical research
- Publié le
- 28.10.2026
You will design data pipelines and agentic AI workflows that connect laboratory instruments to FAIR-compliant data systems in a pharmaceutical research environment.
Vos tâches
- 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
Ce que vous apportez
- 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
Conditions
- Taux d'activité: 100 %
- Option d'engagement fixe après la mission, si les deux parties le souhaitent
Technologies
- LIMS
- Design of Experiments
- ML/LLM API integration
Comment postuler
Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.