Senior Manager, R&D AI/ML Engineer (Remote)

If you are a current Jazz employee please apply via the Internal Career site

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.

Job Description

Brief Description:

The Senior Manager, R&D AI/ML Engineer in Information Services (IS) will play a critical role in driving the adoption and implementation of AI/ML-driven analytics solutions across global business functions with a primary focus on R&D. As a key member of a talented team of advanced data solutions experts, this role will leverage machine learning, deep learning, and generative AI to enhance data-driven decision-making and optimize business processes.

The Sr. Manager will collaborate closely with R&D stakeholders- and IS business partners to scope and design scalable, fit-for-purpose AI/ML models. Responsibilities will include developing, deploying, and operationalizing AI/ML solutions that enable harmonized, real-time insights for scientific and operational advancements. Additionally, this role requires knowledge global pharmaceutical industry regulations and practices, data engineering, and predictive analytics to address complex data challenges and drive innovation in alignment with our data strategy.

Essential Functions

As a Senior Manager, R&D AI/ML Engineering within Biopharma IS, this role will focus on the design, development, and implementation of AI/ML-driven solutions to support R&D and other related business functions, e.g. Commercial. The role will work independently as a subject matter expert (SME), collaborating with stakeholders and IS partners to deliver technical AI/ML solutions that generate actionable insights.

• Develop AI/ML models to support scientific and operational use cases across R&D functions, or other priorities in other Jazz areas e.g. Commercial

• Work closely with R&D teams and IS partners to identify appropriate machine learning, deep learning, and generative AI opportunities for specific business challenges

• Ensure AI/ML models are reliable, scalable, and compliant, following best practices in model development, validation, and monitoring.  Consideration will be given to post-go live model operations and model maintenance including monitoring for drift

• Follow ML Ops best practices, including model retraining, CI/CD automation, and deployment pipelines for AI/ML solutions

• Analyze large-scale and diverse datasets, applying appropriate data preprocessing, feature engineering, and optimization techniques

• Work closely with R&D business stakeholders, IS business partners, and system owners to understand data needs and AI/ML opportunities

• Participate in cross-functional technical discussions, providing technical guidance on model selection, algorithm optimization, and best practices

• Collaborate with IS teams (such as Cloud Infrastructure, Information Security, Data Strategy and Data Operations) to ensure smooth integration and deployment of AI/ML models within existing infrastructure

• Document AI/ML processes, model performance, and lessons learned to support knowledge sharing and reproducibility

Required Knowledge, Skills, and Abilities

• Strong collaboration skills including communication, teamwork and the ability to prioritize and align advanced data solutions with the complex business problems

• Demonstrated excellent teamwork, collaboration and interpersonal skills, ability to take initiative, and meet challenges with a can-do attitude

• Ability to understand and support complex business problems and explain complex machine learni