cover image
Jazz Pharmaceuticals

Jazz Pharmaceuticals

www.jazzpharma.com

2 Jobs

3,625 Employees

About the Company

Jazz Pharmaceuticals plc (Nasdaq: JAZZ), is a global biopharmaceutical company whose purpose is to innovate to transform the lives of patients and their families. We are focused on developing life-changing medicines for people with serious diseases—often with limited or no options—so they can live their lives more fully. By transforming biopharmaceutical discoveries into novel medicines, we are working to give people around the world the opportunity to redefine what’s possible – to make the “small wins” big again.

Founded in 2003 and headquartered in Dublin, Ireland, Jazz Pharmaceuticals has a significant corporate presence in Palo Alto, CA and Philadelphia, PA and in England in London, Oxford and Cambridge, with manufacturing facilities in Ireland, England and Italy. We maintain a highly collaborative culture where employees focus on how they can be successful and accomplish positive results by exemplifying the company’s core values: integrity, collaboration, passion, innovation and the pursuit of excellence.

Together, we are experts, analysts, specialists, advocates, scientists and professionals all with diverse backgrounds and perspectives. Working together, we are proud to support patients, innovate and bring new medicines to patients with critical unmet needs.

Please see our website at www.jazzpharma.com for more information. For information on recruitment, please visit https://careers.jazzpharma.com/. For guidelines on engaging with Jazz on social media, please visit https://bit.ly/2OaMOuq.

Listed Jobs

Company background Company brand
Company Name
Jazz Pharmaceuticals
Job Title
Principal, AI Data Scientist
Job Description
**Job Title**: Principal, AI Data Scientist **Role Summary**: Design and deploy advanced AI, machine learning, and generative AI solutions to transform clinical trial operations and digital health applications within research and development. Lead cross‑functional collaborations to deliver data‑driven insights, automate documentation, and enhance patient engagement while ensuring regulatory compliance. **Expectations**: - Drive end‑to‑end AI projects from concept to production in a regulated environment. - Translate clinical and digital health challenges into viable AI/ML products that deliver measurable operational improvements and value to stakeholders. - Champion best practices in data science, MLOps, and knowledge sharing across the organization. **Key Responsibilities**: 1. Develop AI/ML/GenAI models for clinical trial execution: patient recruitment, retention, real‑time data monitoring, and automated data collection systems. 2. Build GenAI applications for generating clinical documentation (reports, protocols, patient narratives). 3. Create digital health tools for medical/scientific applications, real‑world evidence generation, and patient engagement. 4. Design predictive models using diverse healthcare data sources (clinical trials, EHR, wearables, PROs, HEOR, phase IV studies). 5. Collaborate with clinical operations, development, data science, medical affairs, RWE, and patient groups to solve business problems. 6. Ensure solutions meet regulatory and data‑privacy requirements. 7. Facilitate knowledge transfer and intra‑organization learning within R&D and data science teams. **Required Skills**: - Proficiency in Python or R; experience with PyTorch, TensorFlow, or similar ML frameworks. - Demonstrated work with generative AI (LLM architectures, frameworks) and natural language processing for medical text analysis and generation. - Experience designing and developing digital health tools. - Familiarity with cloud platforms (AWS), high‑compute environments, and MLOps deployment pipelines. - Strong version‑control practices (Git) and collaborative mindset. - Ability to translate healthcare challenges into AI solutions and build stakeholder relationships. **Required Education & Certifications**: - Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field. - 3–5 years professional experience, including 1+ year applying AI/ML to healthcare or clinical research data. - Optional: experience implementing AI in healthcare settings and knowledge of digital health tool development.
London, United kingdom
Remote
Senior
05-02-2026
Company background Company brand
Company Name
Jazz Pharmaceuticals
Job Title
Senior Principal Scientist, Computational Chemist
Job Description
**Job title:** Senior Principal Scientist, Computational Chemist **Role Summary:** Lead and innovate computational chemistry efforts within drug discovery, driving projects from target selection to pre‑clinical candidates. Integrate AI/ML, cheminformatics, and molecular modeling to support medicinal chemistry and collaborate across disciplines to deliver high‑quality therapeutic candidates. **Expectations:** - Deliver strategic computational chemistry direction and project leadership. - Translate complex biological data into actionable design hypotheses. - Mentor junior staff and shape a high‑performing computational team. - Communicate findings to scientific, regulatory, and executive audiences. **Key Responsibilities:** - Design, execute, and oversee computational studies across discovery phases. - Set vision and strategy for computational chemistry programs. - Lead or co‑lead multi‑disciplinary projects, ensuring timely deliverables. - Manage CRO computational chemistry engagements and provide expert guidance. - Present results internally (board level) and externally (conferences). - Contribute to patent applications, scientific manuscripts, and technical reports. - Stay current with emerging computational methods, AI/ML, and industry trends. - Foster innovative thinking and continuous improvement within the department. **Required Skills:** - Advanced molecular modeling (structure‑ and ligand‑based techniques). - Proficiency with CADD software (e.g., Schrödinger, MOE, OpenEye) and cheminformatics tools. - Knowledge of AI/ML–enabled drug design platforms. - Strong grasp of medicinal chemistry, ADME/DMPK, toxicology, and multi‑parameter optimization. - Ability to integrate disease biology with pharmacokinetic and safety data. - Excellent leadership, project management, and cross‑functional collaboration. - Outstanding written and oral communication; proven publication record. **Required Education & Certifications:** - MSc or PhD in Pharmaceutical Sciences, Chemistry, Computational Chemistry, or related discipline. - Experience in a pharmaceutical, biotech, or CRO setting with a solid foundation in drug discovery.
Cambridge, United kingdom
On site
Senior
16-02-2026