Manager, AI & Advanced Analytics (Melbourne)

Manager, AI & Advanced Analytics (Melbourne)

05 Aug
|
CSL
|
Melbourne

05 Aug

CSL

Melbourne

An exciting opportunity is now available for a solution focused manager to join the Technology Enabled Science (TES team) at CSL. As part of the global TES team, this role builds AI/ML, Advanced Analytics, Automation & Digital Agent solutions for R&D; scientists and R&D; operations. This is a hands-on builder role at the center of the CoE: turning scientific and operational use cases into working, validated software using agentic development approaches.

Key Responsibilities

Reporting to the US based senior director you will:

- Design, build, and deploy AI models, intelligent agents, automation scripts, and scientist-facing applications across R&D; use cases.

- Practice agentic software development daily (e.g., Claude Code and similar tools) to deliver production-quality solutions at speed.

- Partner with R&D; scientists and digital leads to scope, prototype, and iterate on high-value use cases.

- Contribute to ML Ops, model documentation, validation workflows, and responsible-AI practices in a regulated environment.

- Support platform integration with enterprise data platforms and existing scientific workflows.

- Participate in capability building (hackathons, training,



guilds) and end-user support.

- Track usage, performance, and value delivered.

Qualifications & Experience

To be successful in this role you will bring:

- Bachelor's, Master's, or PhD in a scientific or quantitative discipline (data science, computer science, engineering, computational biology, or related); scientific-domain background strongly preferred.

- 5+ years combined experience in software engineering, AI/ML, analytics, or automation (research/academic experience counts), preferably touching R&D; or life sciences.

- Demonstrated hands-on delivery with agentic development tools (e.g., Claude Code, Codex) — building and shipping real software.

- Robust Python plus data-engineering fundamentals (SQL, pipelines, cloud — GCP/AWS); ML/time-series experience.

- Exposure to regulated/validated environments (GxP, IRB, FDA risk/validation documentation) a plus.

- An enthusiastic problem-solving mindset.

If you want to join an organisation that truly impacts people's lives around the world then apply now!

📌 Manager, AI & Advanced Analytics (Melbourne)
🏢 CSL
📍 Melbourne

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