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
• 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

Profile

• 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

Offer

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

Company

Pharmaceutical research

Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/scientific-ai-platform-expert-tah-t3jn8/