Health Economics Associate- Advanced Analytics

When our values align, there's no limit to what we can achieve.
 
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Key Accountabilities:

Project Execution

• Acting as support biostatistician or statistical programmer to interact with the study team and the sponsor 
• Support in drafting statistical sections of protocols, performing sample size and power calculation for studies.
• Supporting in reviewing data management plans, data specifications, and other related study documents  
• Supporting in developing statistical analysis plans  
• Contributing to the preparation of specifications for analysis datasets  
• Supporting in developing statistical programs to generate listings, tables and figures as outlined by a statistical analysis plan  
• Performing QC of TLFs and other analysis datasets  
• Providing statistical input to Clinical Study Reports 
• To help ensure quality standards are adhered to on all projects and new methodologies and techniques are adequately assessed and implemented.
• To help foster thought leadership opportunities.

Skills:

• Ability to manage priorities to meet multiple and sometimes competing deadlines.
• Excellent scientific, business writing, and presentation skills with attention to detail.
• Exceptional communication skills, especially in the relaying of technical information and project concepts.
• Competent in written and spoken English
• SAS, R, SQL, and/or Python

Knowledge and Experience:

• 2-4 yrs of experience with familiarity in healthcare consulting or pharmaceutical organizations.
• Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques, etc.
• Familiarity with machine learning techniques and Bayesian statistics is a plus.
• Strong statistical programming skills with standard software.
• Strong communication (spoken and written) and problem-solving skills, and an ability to learn-quickly.
• Ability to communicate effectively, in non-technical terms, with project team members.
• Ability to work well in a team as well as independently and be able to take leadership role with regard to methodological elements in projects.

Education:

• Master or higher degrees in Public Health, Health Economics, Health Policy, Statistics, Biostatics, Mathematics, or other quantitative fields.