Embedded Data & AI Engineer - Palantir Foundry

C028 (FCRS = CH028) Novartis Pharma AG; Basel; Hybrid; CHF 130.000 - 241.000; Vollzeit

Benefits dieser Stelle

Hybrid working options

Parental leave 14 weeks

Insurance plans and retirement plans

Global recognition programs

Zusammenfassung

Novartis Pharma AG in Basel seeks a Forward Deployed Engineer (FDE) for Data42 to turn high‑value problems into data and AI applications using Palantir Foundry. You will prototype, iterate, and productionize solutions in collaboration with domain teams.

This role blends software and data engineering with product mindset, emphasizing user workflows, operational durability, and delivery from prototype to production in a hybrid work setting 3 days in office.

Qualifikationen

• Bachelor's degree in Biology, Bioengineering, Bioinformatics, Biostatistics or related discipline.
• 8+ years of experience working in biomedical research, bioengineering, bioinformatics or related domain.
• Hands‑on experience with Palantir Foundry essential, building and operationalizing pipelines and applications.
• Strong communication and stakeholder management for rapid delivery.

Aufgaben

• Embedded delivery with domain teams to translate needs into shipped capabilities.
• Design and implement end-to-end Foundry solutions, including data pipelines and apps.
• Ingest, transform, and model diverse datasets for analytics and applications.
• Build user-facing applications and support deployment and monitoring.
• Lead cross-functional collaboration and contribute to playbooks and standards.

Kenntnisse

Foundry expertise

Data modeling

Stakeholder management

Python

Ausbildung

Bachelors degree in Biology or related

Tools

Palantir Foundry

Jobbeschreibung

Novartis Pharma AG in Basel seeks a Forward Deployed Engineer (FDE) for Data42 to turn high‑value problems into data and AI applications using Palantir Foundry. You will prototype, iterate, and productionize solutions in collaboration with domain teams.

This role blends software and data engineering with product mindset, emphasizing user workflows, operational durability, and delivery from prototype to production in a hybrid work setting 3 days in office.