Associate Principal Scientist Statistical Programming - Late-Stage; Non-Oncology; Hybrid

Job Description

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state‑of‑the‑art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

This position supports statistical programming activities for multiple and/or large/complex late‑stage drug/vaccine clinical development projects. Accountability predominantly includes the development and execution of statistical analysis and reporting deliverables (e.g. safety and efficacy analysis datasets, tables, listings, figures), the span of which range from individual trials to world‑wide regulatory application submissions and post marketing support.

The incumbent is responsible for the design and maintenance of statistical databases that support multiple stakeholder groups which include clinical development, outcomes research and safety evaluation.

The position is a key collaborator with statistics and other project stakeholders in ensuring that project plans are executed efficiently with timely and high‑quality deliverables.

For assigned projects the position serves as the statistical programming point of contact and knowledge holder through the entire product lifecycle.

Key areas of focus include (1) the assurance of deliverable quality and process compliance, (2) effective deliverable development utilizing global and TA standards that optimize analysis and reporting and promote a strategic knowledge‑base data model, (3) maintaining and managing a project plan including resource forecasting, (4) coordinating the activities of a global programming team that includes outsource provider staff, (5) membership on departmental strategic initiative project teams such as new statistical computing platform evaluation and development.

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 9 years SAS programming experience in a clinical trial environment.
• MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 7 or more years SAS programming experience in a clinical trial environment.

• Experience leading large and/or complex statistical programming projects that include coordinating the activities of a programming team.
• Broad knowledge and significant experience in developing analysis and reporting statistical programming deliverables (datasets, statistical analyses, report tables, and graphics) using global and TA standards and according to quality, compliance and timeliness requirements.
• Expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise. Familiarity with statistical analysis methods and clinical data management concepts.
• US and/or worldwide drug or vaccine regulatory application submission experience at the leadership level including the development of electronic submission deliverables.
• Strong project management skills; A program leader;
  Determines appropriate programming methodology, assures programming consistency across protocols and projects, completes programming tasks, and directs the program development effort of other programmers; an experienced programming mentor; ability to engage key stakeholders.
• Ability to comprehend statistical analysis plans which may describe statistical methodology to be programmed;
  Understanding of statistical terminology and concepts. Designs and develops complex programming algorithms.
• Excellent communication and negotiation skills with a demonstrated history of teamwork and collaboration; deals well with change and seamlessly assimilates to new projects and stakeholders.
• 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…