Health Economics Associate- Advanced Analytics

Summary

Parexel is seeking a Health Economics Associate focused on advanced analytics to support healthcare and pharmaceutical consulting projects. The role supports statistical study design, data planning, analysis programming, quality control, clinical study reporting, and the assessment of new methodologies.

Responsibilities

• 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
• * 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
• * 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
• * Master or higher degrees in Public Health, Health Economics, Health Policy, Statistics, Biostatics, Mathematics, or other quantitative fields
• * Familiarity with machine learning techniques and Bayesian statistics is a plus

Qualifications

Must Haves

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

Nice to Haves

• * Familiarity with machine learning techniques and Bayesian statistics is a plus

Benefits

• Remote work arrangement