Sr. Statistical Programmer, Late Stage Development Oncology

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company's 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.
 
Responsibilities:
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), the span of which range from individual clinical trials to world-wide regulatory application submissions and post marketing support.
 
The incumbent is responsible for the design and maintenance of statistical datasets 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.
 
Primary Activities:

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 

Coordinate the activities of a global programming team that includes outsource provider staff

Membership on departmental strategic initiative teams

 
Skills:

Education and Minimum Requirement:

BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5 years SAS programming experience in a clinical trial environment

MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 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)

A project leader; completes tasks independently at a project level; ability to collaborate with key stakeholders

 
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

Preferred Skills and Experience:

Demonstrated success in the assurance of deliverable quality and process compliance. Strong working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)

US and/or worldwide drug or vaccine regulatory application submission experience including the development of electronic submission deliverables

Experience assuring programming consistency across protocols and projects, directing the program development effort of other programmers; experience as a programming mentor

Ability and interest to work across cultures and geographies

Ability to complete statistical programming deliverables through the use of global outsource partner programming staff

Experience developing and managing a project plan using Microsoft Project or similar package

Active in professional societies

Experience in process improvement