Description
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