Senior Consultant: Advanced analytics: RWE Analytics

Senior Consultant, Advanced Analytics:

RWE Analytics contributes statistical programming capabilities and programming 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 statistical programmer to interact with the study team and the sponsor
• Reviewing case report forms (CRFs), data management plans, data specifications, and other related study documents
• 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 and validation of TLFs, CDISC and other analysis datasets
• 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.

Skills:

• Ability to work under pressure to meet multiple and sometimes competing deadlines.
• Excellent scientific, business writing, and presentation skills with close attention to detail.
• Exceptional communication skills, especially in the relaying of technical information and project concepts.
• Competent in written and spoken English
• SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS

Knowledge and Experience:

• Relevant years of working experience with healthcare consulting or pharmaceutical organizations.
• Strong statistical programming skills with standard software, including SAS, R, or STATA.
• 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:

• MSc or PhD in Health Economics, Health Policy, Statistics, Biostatics, Mathematics, computer sciences, or other quantitative fields