Job description

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 The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: careers.jazzpharma.com

Requirements

Must-haves

If you are a current Jazz employee please apply via the Internal Career site
Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools.
Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift.
Build and maintain standard data models.
Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines.
Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements.
Create and maintain documentation for data processes, architectures, and workflows.
Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI).
Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model.
Maintain compliance with data privacy regulations such as HIPAA, GDPR
May be required to develop, deliver or support data literacy training across R&D.
Required Knowledge, Skills and Abilities
Strong knowledge of data engineering tools such as Python, R and SQL for data processing.
Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
Strong proficiency with relational databases.
Strong background in data modeling and database design.
Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
Familiarity with Containerization such as Docker and EKS/Kubernetes.
Familiarity with one or more RnD research process and associated regulatory requirements.
Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
Exposure to big data technologies and handling.
Knowledge of machine learning operations (MLOps) and model deployment.

Nice-to-haves

Required/Preferred Education
Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awspythonsqldockerkubernetesmachine learningagile

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision