Posted 24 June, 2026
Data & AI Principal Analyst
Aerogen Ltd
Galway, Galway, Ireland
Full Time
Reference: 1533964500
About Aerogen:
Headquartered in the vibrant city of Galway, Ireland, with offices around the world, Aerogen is proud to be the world leader in acute care aerosol drug delivery. Recognised through multiple MedTech awards, including being named Galway Chamber Company of the Year 2025, and an eleven-time winner of the Zenith Award for Respiratory Care Excellence in North America, our employees make a difference to patients' lives every day, having reached over 30 million patients in more than 80 countries.
Today, Aerogen is powered by a global team representing 54 nationalities, working together with a shared commitment to improving patient care. Our talented and skilled team collaborate to innovate, challenge and test not only in relation to our products but every facet of how we work.
We lead the way by finding innovative solutions to even the most complex problems, all in the name of delivering better patient outcomes.
Our business continues to grow rapidly across the globe and, as we grow, our core culture of "We Care" universally connects us. We believe that your ambition and integrity fuels ours, and we are committed to supporting our employees to reach their full potential through tangible investment in their careers.
Join us as we continue to #discoverbetter.
What is the role?
The primary responsibility of this role is to leverage AI and machine learning technologies to analyze complex data sets, develop predictive insights, and provide strategic recommendations to drive business decisions. The role involves leading a team in the development and implementation of Aerogen's AI-powered data infrastructure, utilizing large language models (LLMs), machine learning frameworks, and advanced data manipulation tools to manage internally and externally generated data, driving AI innovation across the business.
What are the key responsibilities?
• Design, develop, and deploy AI/ML models to extract actionable insights from large, complex datasets.
• Build and maintain AI-powered dashboards, reports, and data visualizations using tools integrated with LLMs and generative AI.
• Develop and operationalize predictive models, natural language processing (NLP) pipelines, and automated anomaly detection systems.
• Evaluate, fine-tune, and integrate large language models (e.g., GPT, Claude) into business intelligence workflows.
• Collaborate with stakeholders to identify AI-driven opportunities for improving KPIs and business performance.
• Automate data collection, cleaning, and transformation processes using AI-powered ETL pipelines.
• Provide actionable AI-backed recommendations to improve business processes, customer experience, and operational efficiency. Stay current with the latest advancements in AI, machine learning, and generative AI to continuously evolve the organization's data capabilities.
What education and experience are required?
• Bachelor's/Master's in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of experience in data analysis, with at least 2 years specifically focused on AI/ML development and deployment.
• Proficiency in Python and SQL.
• Hands-on experience with LLMs, prompt engineering and AI model fine-tuning.
• Experience with cloud AI platforms such as Azure ML
• Experience of leading a team
What key skills will make you great at the role?
• AI & ML Expertise: Deep understanding of supervised/unsupervised learning and generative AI.
• Technical Proficiency: Strong skills in Python, SQL, and AI/ML frameworks
• Prompt Engineering: Ability to design and optimize prompts for LLMs to power intelligent data workflows.
• Problem-Solving: Ability to identify business problems and develop AI-driven, data-backed solutions.
• Communication: Strong written and verbal communication skills to present complex AI insights to non-technical stakeholders.
• Business Acumen: Understanding of business needs and ability to align AI strategies with organisational goals.
• Collaboration: Working effectively with cross-functional teams to drive AI and data initiatives.
• Innovation: Continuously exploring emerging AI tools, techniques, and frameworks to improve business processes.
What is it like to work at Aerogen?
Our purpose is to transform patient lives and our ethos is to #discoverbetter. This also translates to how we look after our people. We want talented, passionate and engaged people to join Aerogen and build your career with us. We understand that your life evolves through different stages, and we are here to support our global team with a range of financial and non-financial rewards and benefits. There's something for everyone! Here is an idea of what we offer:
• Excellent medical care.
• Bonus & Pension.
• 'Aerogen Connect' - our employee led programme which supports our global teams to unite and have fun.
• We pledge 1% of profits and time to charities and organisations.
Aerogen is committed to promoting diversity, inclusion and equality in the workplace. If you have any difficulty using our application process, please contact us by emailing [email protected]. Please include your name and preferred method of contact.
Headquartered in the vibrant city of Galway, Ireland, with offices around the world, Aerogen is proud to be the world leader in acute care aerosol drug delivery. Recognised through multiple MedTech awards, including being named Galway Chamber Company of the Year 2025, and an eleven-time winner of the Zenith Award for Respiratory Care Excellence in North America, our employees make a difference to patients' lives every day, having reached over 30 million patients in more than 80 countries.
Today, Aerogen is powered by a global team representing 54 nationalities, working together with a shared commitment to improving patient care. Our talented and skilled team collaborate to innovate, challenge and test not only in relation to our products but every facet of how we work.
We lead the way by finding innovative solutions to even the most complex problems, all in the name of delivering better patient outcomes.
Our business continues to grow rapidly across the globe and, as we grow, our core culture of "We Care" universally connects us. We believe that your ambition and integrity fuels ours, and we are committed to supporting our employees to reach their full potential through tangible investment in their careers.
Join us as we continue to #discoverbetter.
What is the role?
The primary responsibility of this role is to leverage AI and machine learning technologies to analyze complex data sets, develop predictive insights, and provide strategic recommendations to drive business decisions. The role involves leading a team in the development and implementation of Aerogen's AI-powered data infrastructure, utilizing large language models (LLMs), machine learning frameworks, and advanced data manipulation tools to manage internally and externally generated data, driving AI innovation across the business.
What are the key responsibilities?
• Design, develop, and deploy AI/ML models to extract actionable insights from large, complex datasets.
• Build and maintain AI-powered dashboards, reports, and data visualizations using tools integrated with LLMs and generative AI.
• Develop and operationalize predictive models, natural language processing (NLP) pipelines, and automated anomaly detection systems.
• Evaluate, fine-tune, and integrate large language models (e.g., GPT, Claude) into business intelligence workflows.
• Collaborate with stakeholders to identify AI-driven opportunities for improving KPIs and business performance.
• Automate data collection, cleaning, and transformation processes using AI-powered ETL pipelines.
• Provide actionable AI-backed recommendations to improve business processes, customer experience, and operational efficiency. Stay current with the latest advancements in AI, machine learning, and generative AI to continuously evolve the organization's data capabilities.
What education and experience are required?
• Bachelor's/Master's in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of experience in data analysis, with at least 2 years specifically focused on AI/ML development and deployment.
• Proficiency in Python and SQL.
• Hands-on experience with LLMs, prompt engineering and AI model fine-tuning.
• Experience with cloud AI platforms such as Azure ML
• Experience of leading a team
What key skills will make you great at the role?
• AI & ML Expertise: Deep understanding of supervised/unsupervised learning and generative AI.
• Technical Proficiency: Strong skills in Python, SQL, and AI/ML frameworks
• Prompt Engineering: Ability to design and optimize prompts for LLMs to power intelligent data workflows.
• Problem-Solving: Ability to identify business problems and develop AI-driven, data-backed solutions.
• Communication: Strong written and verbal communication skills to present complex AI insights to non-technical stakeholders.
• Business Acumen: Understanding of business needs and ability to align AI strategies with organisational goals.
• Collaboration: Working effectively with cross-functional teams to drive AI and data initiatives.
• Innovation: Continuously exploring emerging AI tools, techniques, and frameworks to improve business processes.
What is it like to work at Aerogen?
Our purpose is to transform patient lives and our ethos is to #discoverbetter. This also translates to how we look after our people. We want talented, passionate and engaged people to join Aerogen and build your career with us. We understand that your life evolves through different stages, and we are here to support our global team with a range of financial and non-financial rewards and benefits. There's something for everyone! Here is an idea of what we offer:
• Excellent medical care.
• Bonus & Pension.
• 'Aerogen Connect' - our employee led programme which supports our global teams to unite and have fun.
• We pledge 1% of profits and time to charities and organisations.
Aerogen is committed to promoting diversity, inclusion and equality in the workplace. If you have any difficulty using our application process, please contact us by emailing [email protected]. Please include your name and preferred method of contact.
