Software Engineering Lead (scientific & Ai Tools)

AstraZeneca

Hybrid (3 days in-office minimum with flexibility)
Python programming
Scalable production-quality systems
Ci/cd and automated testing
AstraZeneca seeks a Software Engineering Lead to drive the design and implementation of Scientific and AI tools aimed at enhancing scientific decision-making within Clinical Pharmacology and Safety Science. The role requires extensive experience in software engineering, data engineering, and AI technologies, with a focus on collaboration and innovation in a diverse environment

Job Summary

  • Own the design, implementation, and delivery of Scientific & AI tools and solutions that accelerate scientific decision-making.
  • Design, build, and operate scalable software in scientific, data, and AI domains, applying modern engineering best practices.
  • Partner with CPSS stakeholders, R&D IT, and Enterprise AI to co-create solutions and provide clear communication of complex topics.

Matching Summary

Match Score: 85

AstraZeneca seeks a Software Engineering Lead to drive the design and implementation of Scientific and AI tools aimed at enhancing scientific decision-making within Clinical Pharmacology and Safety Science. The role requires extensive experience in software engineering, data engineering, and AI technologies, with a focus on collaboration and innovation in a diverse environment.

Skills & Requirements

Must-have

  • Python programming
  • Scalable production-quality systems
  • CI/CD and automated testing
  • Data engineering and visualization
  • Flask, Dash, Streamlit, or React
  • FastAPI or Flask backend
  • SQL and NoSQL databases
  • Generative AI and agentic workflows
  • AWS cloud platforms
  • Unix/Linux HPC systems

Nice-to-have

  • Machine learning and AI domain expertise
  • Bioinformatics background
  • Life sciences experience
  • Scientific computing knowledge

Key Requirements

  • Minimum 10+ years of relevant experience
  • Degree in Computer Science, Engineering, or related field, or equivalent industry experience
  • Familiarity with R, Java, or C++
  • Practical experience with PydanticAI, LangChain and LangGraph
  • Knowledge of LLMs, RAG, and prompting techniques
  • Demonstrated ability to convert scientific and business requirements into robust technical solutions

Work Rights

Not specified

Tailored Resume

Cover Letter