Hyderabad, India.
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.
This job is posted by Parexel.
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