Beschreibung
You will build enterprise-grade AI analysis platforms and data products to accelerate drug discovery within a disease-area data science team.
Tasks
- 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
- Establish project evaluation, deployment, lifecycle and governance practices
- Mentor and coach data scientists, engineers and cross-functional teams
- Communicate strategy and results through presentations and technical documentation
Profile
- PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science or related field, or equivalent experience
- MS degree with 5+ years of relevant post-graduate experience also considered
- 3+ years hands-on experience in scientific data science, AI/ML or computational research in biopharma or technology
- Experience building production-grade multimodal data platforms for scientific analysis
- Experience with software or data engineering practices including Python, SQL, version control, testing and cloud platforms
- Experience leading cross-functional science or engineering teams
Offer
- Hybrid work model
- 3–6 months interim, then a permanent position
Company
Pharma & biotech research