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:

The Associate contributes statistical capabilities and methodological support at all stages of real-world data analytics projects, working with data sources such as electronic health records (EHR), claims data, and registry data to generate insights and support evidence generation. The role works under the supervision of an experienced team member in designing, developing, and delivering client solutions across multiple projects, leveraging competencies in statistical analysis, interpretation, and study design.

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.

Experience working with large real-world databases such as electronic health records (EHR), claims data, and national registries is highly preferred

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.

Originally posted on Himalayas