Manager, AI & Advanced Analytics

Posted 5 Hours Ago
Be an Early Applicant
17 Locations
Remote
Senior level
Biotech
The Role
Lead design, build, and deployment of AI/ML models, intelligent agents, automation, and scientist-facing apps for R&D. Partner with scientists to scope and prototype use cases, support MLOps, validation, platform integration, capability building, and track performance and value delivered in a regulated environment.
Summary Generated by Built In

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.

  • Strong 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!

About CSL Behring

CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.

CSL Behring operates one of the world’s largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.

To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor  visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/.

 

Our Benefits

For more information on CSL benefits visit How CSL Supports Your Well-being | CSL.


You Belong at CSL

At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.

 To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging

 

Equal Opportunity Employer

CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit https://www.csl.com/accessibility-statement.

Skills Required

  • Bachelor's, Master's, or PhD in a scientific or quantitative discipline
  • 5+ years combined experience in software engineering, AI/ML, analytics, or automation (research/academic counts)
  • Hands-on delivery with agentic development tools (e.g., Claude Code, Codex) building and shipping software
  • Strong Python programming skills
  • Data-engineering fundamentals: SQL, data pipelines, cloud (GCP/AWS)
  • Machine learning experience, including time-series modeling
  • Exposure to regulated/validated environments (GxP, IRB, FDA risk/validation documentation)
  • Scientific-domain background or experience touching R&D/life sciences
  • Problem-solving mindset and capability building (hackathons, training, support)
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The Company
HQ: Melbourne, Victoria
20,401 Employees

What We Do

CSL is a leading global biotechnology company with a dynamic portfolio of lifesaving medicines, including those that treat haemophilia and immune deficiencies, vaccines to prevent influenza, and therapies in iron deficiency, dialysis and nephrology. Since our start in 1916, we have been driven by our promise to save lives using the latest technologies. Today, CSL – including our businesses, CSL Behring, CSL Seqirus, CSL Plasma and CSL Vifor – provides lifesaving products to patients in more than 100 countries and employs 32,000 people. Our unique combination of commercial strength, R&D focus and operational excellence enables us to identify, develop and deliver innovations so our patients can live life to the fullest. See our community guidelines: https://bit.ly/3Bs17Ra

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