Statistical Programmer

Cytel

Pennsylvania

On-site

USD 70,000 - 90,000

Full time

5 days ago
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Job summary

Cytel seeks a recent graduate Statistical Programmer to join our embedded client program, performing SAS-driven data manipulation, analysis, and reporting for Phase I–IV trials. You will develop skills alongside Cytel and a trusted pharmaceutical partner, handling datasets, tables, listings, and figures with the opportunity to contribute to submission-ready packages.

You’ll work in a globally dispersed team, applying foundational data skills and learning our standard processes while delivering

Qualifications

  • A minimum of 4 years of Undergraduate study and 2 additional years of Graduate-level education.
  • Academic training in Statistics, Epidemiology, or Data Science and in Computer Science, Mathematics, or Computational Science.
  • Foundational data manipulation, analysis and reporting skills.
  • Familiarity with drug development life cycle and a passion to learn.
  • Ability to work effectively in a globally dispersed team with cross-cultural partners.
  • Excellent English communication skills and ability to deliver under deadlines.

Responsibilities

  • Perform data manipulation, analysis, and reporting of clinical trial data, including safety and efficacy, using SAS programming.
  • Create and validate datasets/analysis files, tables, listings, and figures (TLFs).
  • Generate ad-hoc reports.
  • Prepare and validate submission packages.
  • Apply understanding/experience with efficacy analysis.
  • Work as a team member, meeting deadlines and adapting to priorities.

Skills

SAS programming
Data manipulation
Ad hoc reporting
Team collaboration

Education

Undergraduate + Graduate education
Statistics, Epidemiology, or Data Science
Computer Science, Mathematics, or Computational Science

Tools

SAS

Job description

Our commitment to developing our staff is only surpassed by our commitment to advancing treatment options available to patients. At Cytel, we work hard to create successful careers with significant professional growth for our employees and as a result work hard to make Cytel successful. Cytel is a place where talent, experience, and integrity come together to advance the state of clinical development.

Description

Sponsor-dedicated:

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.

Position Overview

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.

Responsibilities

As a Statistical Programmer, your responsibilities will include:

  • 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 ( TLF s)
  • 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
Qualifications

Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:

  • 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 skillsAbility 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
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