You will build enterprise-grade AI analysis platforms and data products to accelerate drug discovery within a disease area data science team.

Ihre Aufgaben

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
Prioritize resources against evolving research needs
Provide input on project evaluation, deployment, lifecycle, and governance practices
Support onboarding of external vendors and service providers
Present strategy, implementation details and results internally and externally

Was Sie mitbringen

BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science, mathematics, physics or related
3+ years hands-on experience in scientific data science, engineering or AI/ML in biopharma or technology
Experience building production-grade multimodal data platforms for scientific analysis
Experience with omics analysis pipelines, LLM patterns, agent orchestration and deep learning frameworks preferred
Practical experience in software or data engineering including Python, SQL, version control, testing, cloud platforms
Strong communication and interpersonal skills

Rahmenbedingungen

Pensum: 100 %
Arbeitsmodell: Hybrid
Option auf Festanstellung nach dem Einsatz, wenn beide Seiten wollen

Was Sie erwartet

Hybrid work model
3–6 months interim, then a permanent position

Technologien

Python
SQL
PyTorch
Snowflake
Databricks
Palantir Foundry
AWS

So bewerben Sie sich

Sie bewerben sich mit Ihrem Try&Hire-Profil: Lebenslauf hochladen, Angaben prüfen, Eckdaten und Verfügbarkeit eintragen. Ein kurzes Vorstellungsvideo ist freiwillig, hilft aber. Unser Team meldet sich, wenn Ihr Profil zum Einsatz passt.

Scientific AI Platform Expert