Associate Director, AI & Advanced Analytics

CSL
Maidenhead, Berkshire
2 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Senior Technical Program Manager, Professional Services

Databricks London, United Kingdom
On-site

Associate

Faculty AI London, United Kingdom
Hybrid

Customer Director (National Security)

Faculty AI London, United Kingdom
Permanent

Account Director, Education

OpenAI United Kingdom
Hybrid

Analytics Engineer

Multiverse London, United Kingdom
Hybrid

Associate Director, Data Engineering

Relation Therapeutics London, United Kingdom
On-site
Posted
23 Mar 2026 (2 months ago)
CSL's R&D organization is accelerating innovation to deliver greater impact for patients. With a project-led structure and a focus on collaboration, we’re building a future-ready team that thrives in dynamic biotech ecosystems. Joining CSL now means being part of an agile team committed to developing therapies that make a meaningful difference worldwide.


Could you be our next Associate Director,  AI & Advanced Analytics? The job is in our King of Prussia, PA or Waltham, MA Office. This is a hybrid position and is onsite three days a week. You will report to the Head of MSPR.


You will support the deployment and scaling of AI/ML models, digital agents, and automation solutions across R&D. Contributes to technical delivery, stakeholder coordination, and responsible governance practices to enable innovation and efficiency.


Responsibilities:
Support development and deployment of AI models, automation scripts, and intelligent agents.
Partner with R&D teams and digital leads to identify and prototype use cases aligned to business needs.
Contribute to MLOps processes, model documentation, and system validation workflows.
Help drive platform integration, compliance tracking, and continuous improvement initiatives.
Collaborate on internal capability building (e.g., hackathons, training) and end-user support.
Track success metrics such as usage, performance, and value delivered.

Qualifications:


Bachelor’s or Master’s in Data Science, Computer Science, or a related field.
10+ years of experience in AI/ML, analytics, or automation, preferably in R&D or life sciences.
Practical experience building or supporting machine learning pipelines or agent-based tools.
Familiarity with MLOps tools, low-code automation platforms, or scripting languages (e.g., Python, R).
Strong communication and project coordination skills.


#LI-HYBRID


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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.