Home-based, India.
RWE Analytics contributes statistical capabilities and methodological leadership at all stages of projects, from planning to completion. The role would work with junior team members in designing, developing, and delivering client solutions across multiple projects – leveraging competencies in statistical theory, data analysis and interpretation, regression analysis, and experimental design. The individual must have a Master’s or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other quantitative fields. They should be proficient in data analytics and statistical software/tools like R, Stata, Python, and SAS with 8+ yrs of relevant experience.
Project Execution:
- Acting as a lead biostatistician or statistical programmer to interact with the study team and the sponsor
- Drafting statistical sections of protocols, performing sample size and power calculation for studies, and creating randomization schedules per study design and relevant specifications
- Reviewing case report forms (CRFs), data management plans, data specifications, and other related study documents
- Independently developing statistical analysis plans
- Preparing specifications for CDISC and other analysis datasets
- Independently developing SAS programs to generate listings, tables and figures as outlined by a statistical analysis plan
- Performing QC of TLFs, CDISC and other analysis datasets
- Reviewing study protocols and providing input to statistics section
- Providing statistical input to Clinical Trial Reports
- To direct project teams in the design, development and delivery of client solutions across multiple projects.
- To provide high level input to the development of client deliverables including the provision of support to the delivery team in the development of strategic recommendations tailored to individual projects.
- To provide advice and support to existing clients both within and outside of projects.
- To help manage existing business accounts and identify new business opportunities for Parexel with existing and new clients.
- To proactively mentor and develop members of the team to help achieve best in class status.
- To ensure the optimal levels of client management are maintained at all levels and that the training and support to achieve best practice consultancy standards are achieved.
- To ensure quality standards are adhered to on all projects and new methodologies and techniques are adequately assessed and implemented.
- To foster thought leadership opportunities in Advanced Analytics.
- To work with Senior Management colleagues to identify further service opportunities.
Additional Responsibilities:
Senior Consultant, Advanced Analytics:
RWE Analytics is responsible for ensuring that all assigned projects are being conducted in an efficient manner and that quality and client satisfaction is maximized at all times — ensuring the direction of the project and the quality of the deliverables meet the project objectives and the client needs. Further, Senior Consultants are expected to support and train the Senior associates and Associates in their daily duties and to flag any areas of acute training needs to their line managers. Supported by the senior staff and Business Development partners, the Senior Consultant is responsible for maintaining client relationships on their projects.
Candidates will be part of multi-disciplinary research teams and will be expected to provide statistical expertise and methodological leadership at all stages of projects from planning to completion. Duties will vary according to the nature of the projects. These may include independently contributing to the preparation of statistical analysis plans, writing programs to execute analyses, and assisting with the interpretation and dissemination of findings. The candidate is expected to also support ongoing thought leadership and innovation objectives of the unit in the field of advanced analytics including, but not limited to:
- Target trial frameworks
- Causal inference
- External control arms
- Bayesian methods
- Missing data imputation
- Machine learning algorithm development
This job ad will be unpublished on 02/02/2025.
This job is posted by Parexel.
This link brings you to the website of Parexel.
Please mention that you found the role via EuropeanHealthEconomics.com. Thank you and good luck!
