Reference #: R010184
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.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. CommercialWork closely with R&D teams and IS partners to identify appropriate machine learning, deep learning, and generative AI opportunities for specific business challengesEnsure 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 driftFollow ML Ops best practices, including model retraining, CI/CD automation, and deployment pipelines for AI/ML solutionsAnalyze large-scale and diverse datasets, applying appropriate data preprocessing, feature engineering, and optimization techniquesWork closely with R&D business stakeholders, IS business partners, and system owners to understand data needs and AI/ML opportunitiesParticipate in cross-functional technical discussions, providing technical guidance on model selection, algorithm optimization, and best practicesCollaborate 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 infrastructureDocument AI/ML processes, model performance, and lessons learned to support knowledge sharing and reproducibility
Required Knowledge, Skills, and AbilitiesStrong collaboration skills including communi ation, teamwork and the ability to prioritize and align advanced data solutions with the complex business problemsDemonstrated excellent teamwork, collaboration and interpersonal skills, ability to take initiative, and meet challenges with a can-do attitudeAbility to understand and support complex business problems and explain complex machine learning concepts to non-expertsAI/ML understanding in supervised and unsupervised learning, such as SVM, Random Forest, clustering and regression modelsUnderstanding in deep neural network architectures, such as CNN, RNN, GRU, LSTM, etcHands-on experience in Python data analytics & ML libraries such as sk-learn, Pandas, Keras, Tensorflow, Pytorch and etcHands-on experience in Generative AI and Large Language Model (LLM) evaluation, implementation and fine-tuningHands-on experience in natural language processing (NLP) development and implementationDemonstrated experience in retrieval augmented generation (RAG) and SQL analyzer architectureKnowledge of software systems and database principlesFamiliar with Cloud computing (e.g. AWS) and high-performance computing using GPU, e.g. CUDAML Ops, such as model deployment and CI/CD experience preferredDemonstrated ability to work and manage on multiple projects at the same timeExperience in biopharma and/or healthcare industry is a preferenceWorking knowledge of data analytics and visualization tools (e.g. Power BI, Tableau) is a plusWorking knowledge SQL, relational databases, and data modeling experience is a plusExcellent verbal and written communication skillsModerate travel (<10%) within the US may be required
Required/Preferred Education and Licenses5-7 years of experience, bachelor's degree required and advanced degrees preferred e.g. Master's Degree, or PhD. in a Data Science, Applied Mathematics, Computer Science, Statistics, or other relevant fieldsFOR US BASED CANDIDATES ONLY
Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $133,600.00 - $200,400.00
Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis.
At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan.
The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits.html.Jazz Pharmaceuticals is an equal opportunity/affirmati