Sr. Scientist, Stat. Programming, Late-Stage Oncology (Hybrid)

About the role

This position supports statistical programming activities for late-stage drug/vaccine clinical development projects. This may include leadership of one or more projects. Accountability predominantly includes the development and execution of statistical analysis and reporting deliverables (e.g. safety and efficacy analysis datasets, tables, listings, figures).

Responsibilities

• Effective analysis and report programming development and validation utilizing global and TA standards and following departmental SOPs and good programming practices
• Maintain and manage a project plan including resource forecasting
• Cook up and coordinate the activities of a global programming team that includes outsource provider staff
• Membership on departmental strategic initiative team

Requirements

• Education and Minimum Requirement: BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 5 years SAS programming experience in a clinical trial environment OR MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 3 years SAS programming experience in a clinical trial environment
• Department Required Skills And Experience: Effective interpersonal skills and ability to negotiate and collaborate effectively; Effective written, oral, and presentation skills; Effective knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)
• Position Specific Required Skills And Experience: Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise; Designs and develops complex programming algorithms; Ability to comprehend analysis plans which may describe methodology to be programmed; An understanding of statistical terminology and concepts; Familiarity with clinical data management concepts; Experience in CDISC and ADaM standards; Experience ensuring process compliance and deliverable quality; Strategic thinking - ability to turn strategy into tactical activities; Design of statistical databases with the end in mind that optimize analysis and reporting and leverage departmental standards and industry best-practices; Ability to anticipate stakeholder requirements

Skills

• Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise
• Designs and develops complex programming algorithms
• Ability to comprehend analysis plans which may describe methodology to be programmed; an understanding of statistical terminology and concepts
• Familiarity with clinical data management concepts
• Experience in CDISC and ADaM standards
• Experience ensuring process compliance and deliverable quality
• Strategic thinking - ability to turn strategy into tactical activities; design of statistical databases with the end in mind that optimize analysis and reporting and leverage departmental standards and industry best-practices
• Ability to anticipate stakeholder requirements