Role overview
- Build sophisticated GenAI applications, Machine Learning models, and Optimization solutions tailored to life sciences, taking them from initial PoC through to impactful applications.
- Deliver high‑quality, production‑ready code on AWS; stand up robust APIs, orchestration endpoints (MCPs), and flexible data pipelines with strong lineage and observability.
- Transform external signals and real‑world data (RWD) into trusted, actionable evidence for ML/DL and agentic systems.
- Collaborate in a dynamic ecosystem where AI, Product, Strategy, and UX intersect. You will act as a key translator, connecting cutting-edge AI capabilities with real-world pharmaceutical requirements to deliver meaningful digital transformation.
- Communicate technical concepts and results clearly and effectively to technical and non-technical audiences
- Keep pace with industry advancements by reviewing academic papers and attending conferences
What we're looking for
- Experience with real-world data (Electronic Health Records, claims data, pharmacy& prescription databases).
- Knowledge of drug development and prior pharma experience.
- Reinforcement learning and LM fine-tuning; TypeScript or AWS CDK.
- Contributions to open-source or internal frameworks.
Learn more about Evinova: www.evinova.com
Follow Evinova on LinkedIn: https://www.linkedin.com/company/evinova/
Tags & focus areas
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