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AstraZeneca is seeking a Software Engineering Lead to develop Scientific & AI tools that enhance decision-making in Clinical Pharmacology & Safety Science. The role requires extensive experience in software engineering, data engineering, and AI solutions, particularly with Python and cloud platforms. The position offers an opportunity to impact patient outcomes through innovative technology in a collaborative environment.
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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 foster a culture of craftsmanship, learning, and inclusive collaboration.
Matching Summary
Match Score: 75
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AstraZeneca is seeking a Software Engineering Lead to develop Scientific & AI tools that enhance decision-making in Clinical Pharmacology & Safety Science. The role requires extensive experience in software engineering, data engineering, and AI solutions, particularly with Python and cloud platforms. The position offers an opportunity to impact patient outcomes through innovative technology in a collaborative environment.
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Skills & Requirements
Must-have
Python programming skills
Scalable production-quality systems
CI/CD and automated testing
Data engineering and visualization
FastAPI or Flask backend
SQL and NoSQL databases
Generative AI and LLMs
Cloud and HPC environments
Nice-to-have
Machine learning and bioinformatics background
Life sciences domain expertise
Scientific computing knowledge
Agile and collaborative mindset
Key Requirements
Minimum 10+ years of relevant experience
Degree in Computer Science, Engineering, or related field, or equivalent industry experience
Proven delivery of scalable, production-quality systems
Experience with Unix/Linux HPC systems and cloud platforms (AWS preferred)