Statistical Programmer I FSP

Cytel; Boston (MA); On-site; USD 75,000 - 110,000; Full time

Job summary

Cytel has sponsor-dedicated roles embedded within one of our pharmaceutical clients, where you will be a Statistical Programmer with Cytel supporting Phase I–IV trials. This entry-level opportunity lets you develop programming skills, build datasets, and contribute to submissions under a trusted partner.

The role emphasizes data manipulation, reporting, and efficacy analysis while working in a globally dispersed team.

Qualifications

• Strong SAS programming fundamentals for clinical data, tables, listings and figures (TLFs).
• Experience with data manipulation and submission package preparation.
• Excellent English communication and ability to work in a globally dispersed team.

Responsibilities

• Perform data manipulation, analysis, and reporting of clinical trial data using SAS.
• Create and validate datasets/analysis files, tables, listings, and figures (TLFs).
• Generate ad-hoc reports.
• Prepare and validate submission packages.
• Apply understanding of efficacy analysis.
• Collaborate as a team member to meet deadlines.
• Adapt to changing priorities.

Skills

SAS programming

Data manipulation

Clinical trial analysis

Ad hoc reporting

Team collaboration

English proficiency

Education

4 years undergrad + 2 years graduate-level education

Statistics / Epidemiology / Data Science

Computer Science / Mathematics / Computational Science

Job 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.

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

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 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

Cytel Inc. is an Equal Employment / Affirmitive Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.