Sr. Scientist, Statistical Programming- Oncology

Job Description

Responsibilities:

• Utilize big data to analyze the safety and efficacy claims of potential medical breakthroughs.

• Support statistical programming activities for Early Oncology clinical development projects.

• Review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis and high-quality data to support decision making in clinical trials.

• Responsible for the development and execution of statistical analysis and reporting deliverables (e.g., safety and efficacy analysis datasets, tables, listings, figures) for early oncology studies.

• Responsible for design and maintenance of statistical datasets that support multiple stakeholder groups, including clinical development and safety evaluation.

• Collaborate with statistics and other project stakeholders in ensuring project plans are executed efficiently with timely and high-quality deliverables.

• Effective analysis and report programming development and validation, utilizing global and therapeutic area (TA) standards and following departmental standard operating procedures (SOPs) and good programming practice

• Maintain and manage a project plan including resource forecasting.

• Coordinate the activities of a global programming team that includes outsourced provider staff.

Requirements:

Minimum education required:

Master’s degree or equivalent in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or a related field and 3 years of experience in the position offered or related occupation. We will also accept a Bachelor’s degree or equivalent in Computer Science, Statistics, Applied Mathematics, Life Sciences, and 5 years of experience in the job offered or related occupation.

Required experience and skills:

The required 3 and 5 years of experience is with all of the following: SAS programming in a clinical trial environment including data steps, procedures, SAS/MACRO, and SAS/GRAPH; developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings); working with SAS systems and statistical databases; designing and developing complex programming algorithms; experience with analysis plans which describe the methodology to be programmed; applying statistical terminology and clinical data management concepts; CDISC SDTM and ADaM standards; ensuring process compliance and deliverable quality; and designing statistical databases with objective to optimize analysis and reporting and leverage departmental standards and industry best practices.

1 year of experience with oncology clinical programming support

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