Software Engineering Lead (scientific & Ai Tools)

AstraZeneca

**
Python programming skills
Scalable production-quality systems
Ci/cd and automated testing
** AstraZeneca is seeking a Software Engineering Lead to drive the design and delivery of AI and scientific tools that enhance decision-making in Clinical Pharmacology & Safety Science. This role requires over ten years of experience in software engineering, particularly in developing scalable systems, and offers an engaging work environment focused on innovation and collaboration. **

Job Summary

  • We are seeking a seasoned Software Engineering Lead to own the design, implementation and delivery of Scientific & AI tools and solutions that accelerate scientific decision-making across Clinical Pharmacology & Safety Science (CPSS).
  • This role partners closely with R&D IT and Enterprise AI and collaborates globally with colleagues in Sweden, the United Kingdom, and the United States.
  • We believe that the more inclusive we are, the better our work will be.

Matching Summary

Match Score: 75

** AstraZeneca is seeking a Software Engineering Lead to drive the design and delivery of AI and scientific tools that enhance decision-making in Clinical Pharmacology & Safety Science. This role requires over ten years of experience in software engineering, particularly in developing scalable systems, and offers an engaging work environment focused on innovation and collaboration. **

Skills & Requirements

Must-have

  • Python programming skills
  • Scalable production-quality systems
  • CI/CD and automated testing
  • Data engineering and visualization
  • Generative AI and LLMs
  • Cloud and HPC environments

Nice-to-have

  • Machine learning and bioinformatics background
  • Life sciences domain expertise
  • Agentic AI solution architecture

Key Requirements

  • Minimum 10+ years of relevant experience
  • Degree in Computer Science, Engineering, or related field, or equivalent industry experience
  • Strong Python skills
  • Proven delivery of scalable, production-quality systems
  • Experience with Flask, Dash, Streamlit, or React frameworks
  • Experience with FastAPI or Flask
  • Experience with SQL and NoSQL technologies
  • Practical experience with PydanticAI, LangChain and LangGraph
  • Hands-on experience with Unix/Linux HPC systems and cloud platforms (AWS preferred)

Work Rights

Not specified

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