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Jazz Pharmaceuticals

Lead Real World Data Scientist (Hiring Immediately)

philadelphia, PA

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Job description

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

Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.

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

more information.

Brief Description:

The Senior Principal Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies and analytic projects using diverse Real-World Data (RWD) sources including administrative claims, electronic medical records (EMR), and registry data. Reporting to the head of RWD/A, and positioned within the RWE/A, Global Evidence & Value Generation department, the successful candidate will demonstrate deep expertise in RWD analytics, exceptional programming and analytical capabilities, strong organizational skills and a keen eye for detail, and a proven record of delivering high-quality RWE projects. In addition, the candidate will be responsible for ensuring the timely completion and scientific rigor of all research outputs.

Essential Functions/Responsibilities

Conduct and audit RWE analyses using a variety of RWD from multiple sources

Work collaboratively with the RWA lead and other team members to meet study and recurring report timelines

Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable results

Clean and validate RWD and outputs for consistency and reliability

Maintain clear documentation of analytical programming codes and operational definitions to ensure reproducible and auditable RWE studies/analytic projects

Develop reports, presentations and dashboards to communicate complex data insights

Provide support in designing and enforcing RWA standards that improve operational efficiency and guarantee accuracy in RWE studies/analytic projects

Stay current with evolving RWA methodologies, emerging data visualization technologies, and established industry best practices

Required Knowledge, Skills, and Abilities

MS or PhD in data science, epidemiology, statistics, public health, or related discipline

Relevant experience (4+ years for MS, 2+years for PhD) within biopharma companies, RWE consulting firms, or other relevant healthcare industries

Demonstrated expertise with multiple RWD sources, with extensive hands-on experience working with Flatiron and Optum data (minimum 2 years) required

Expert proficiency in programming software SQL and R is required. Knowledge of Python would be considered an advantage

Familiarity with US and global health care coding system (e.g. ICD, CPT, HCPCS, LOINC, MedDRA) and delivery system (e.g. payers and reimbursement models)

Experience conducting routine and advanced statistical analyses for RWE generation, leveraging time-to-event, cross-sectional, and longitudinal data

Experience with big data analytical platforms (e.g., Snowflake). Knowledge of data visualization tools (e.g., PowerBI) would be considered an advantage

Relevant experience (4+ years for MS, 2+years for PhD) within biopharma companies, RWE consulting firms, or other relevant healthcare industries

Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges

Able to work in a fast-paced, flexible, team-oriented environment

Required/Preferred Education and Licenses

MS or PhD in data science, epidemiology, statistics, public health, or related discipline

   #LI-Remote      

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.

FOR 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: $151,200.00 - $226,800.00

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. xpxfdfd

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:

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