Statistical Programmer I FSP

Cytel • United States,

8d • Remote

About The Position

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. We are looking for a Recent Graduate to perform and act as a Statistical Programmer, where you will leverage your education to develop and expand programming skills, supporting one or more Phase I-IV clinical trials. This is a great opportunity to start a career in Clinical Life Sciences, supported by Cytel and embedded in a trusted partner.

Requirements

• A minimum of 4 years of Undergraduate study and 2 additional years of Graduate-level education
• Academic training in both of the following 2 categories (or closely related fields): Statistics, Epidemiology, or Data Science; Computer Science, Mathematics, or Computational Science
• Foundational data manipulation, analysis and reporting skills
• Familiarity with drug development life cycle and a passion to learn and expand knowledge
• Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners
• Excellent oral and written English communication skills
• Ability to provide quality output and deliverables, in adherence with challenging timelines
• Willingness and ability to learn and follow Company’s standard processes and procedures.
• Ability to effectively learn and perform statistical programming and related tasks

Responsibilities

• Performing data manipulation, analysis, and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming
• Applying your SAS programming skills, to create and validate datasets/analysis files, tables, listings, and figures (TLFs)
• Generating ad-hoc reports
• Preparing and validating submission packages
• Applying your understanding/experience with Efficacy analysis
• Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.
• Being adaptable and flexible when priorities change

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level