Staff Engineer : Director Oncology Data, Science Platforms (m / f / d)

AstraZeneca GmbH; Mississauga; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading pharmaceutical company is seeking a Staff Engineer to work on critical AI innovations. This senior role involves hands-on coding, developing AI solutions, and translating business needs into technical plans. Ideal candidates will have over 10 years of experience in software engineering, with a strong foundation in machine learning and full-stack technologies. This position offers a collaborative work environment focused on continuous learning and development.

Benefits

Individual development opportunities

Diverse and inclusive work environment

Wellbeing and mobility benefits

Qualifications

• 10+ years of experience in software engineering or applied AI roles.
• 5+ years in a senior individual contributor position.
• Mastery of full-stack technologies including Python, JavaScript/TypeScript.

Responsibilities

• Design, code and build high-quality AI proof of concepts and MVPs.
• Translate business opportunities into technical implementation plans.
• Define and enforce engineering best practices across AI prototyping.

Skills

Full-Stack technologies

Machine Learning

Software Engineering

AI Solutions Development

Cloud Technologies (AWS)

SQL

Unix

Education

Master’s degree in STEM

Job description

Staff Engineer : Director Oncology Data, Science Platforms (m / f / d)

As Staff Engineer for Applied AI Engineering, you will participate in the technical execution and development behind AstraZeneca's most critical AI innovations as well as working towards our mission of pushing the boundaries of science to deliver life-changing medicines for patients. Your mandate spans developing multiple AI work-streams sponsored by Executive Leadership and focusing on coding agentic solutions and generative AI.

Reporting into the Director of Software Engineering, you will be a senior individual contributor delivering prototypes, minimum viable products (MVPs), and technical implementations to transform scientific research.

This is a senior individual contributor position focused on hands-on technical execution. You will be directly coding, architecting and building AI solutions that drive AstraZeneca's digital transformation initiatives.

Role Responsibilities

Design, code and build high-quality AI proof of concepts, MVPs and use cases through hands-on development

Translate high-level business opportunities into concrete technical implementation plans, partnering closely with business, product, and architecture leaders

Define and enforce engineering best practices across AI prototyping, including architecture patterns, documentation standards, quality gates, and reproducibility criteria

Act as a key contributor to the Applied AI strategy and AstraZeneca's broader agentic AI framework, including involvement in shared component development and internal tooling

Basic Qualifications

Minimum of a Master’s degree, preferably in STEM (Science, Technology, Engineering, Mathematics) or related field, required

10+ years of experience (after academic degree) in software engineering, or applied AI roles, with 5+ years in a senior individual contributor position

Master Full-Stack technologies, such as Python, JavaScript / TypeScript, Cloud (preferably AWS), SQL, Unix.

Experience delivering solutions to complex problems, from concept to pilot in enterprise environments, preferably across multiple business domains

Technical foundation in machine learning, and AI

Preferred Qualifications

Expertise in LLM-based applications, multi-modal, multi-agent systems, or agent orchestration frameworks

Experience in highly regulated industries (e.g. pharma, healthcare, finance)

Familiarity with benchmarking, interpretability, and risk mitigation techniques for applied AI

Expertise in one or more areas such as NLP, time series, LLMs, generative models, and traditional machine learning (nice to have)

Benefits

Individual development opportunities and a focus on lifelong learning.

A diverse, inclusive and unbiased work environment.

Trust, appreciation and space for co-creation.

Wellbeing and Mobility Benefits

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