Senior Statistical Programmer FSP

Posted Yesterday
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2 Locations
In-Office or Remote
Senior level
Software • Analytics • Biotech
The Role
Lead and perform SAS-based clinical data manipulation, generate and validate SDTM/ADaM datasets and TLFs, produce QC/validation programming, create submission documents (define.xml), support efficacy analyses and ad-hoc reports, and collaborate with cross-functional and client teams to meet timelines.
Summary Generated by Built In
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 Senior 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: 

As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials. This role is fully remote. Experience with oncology is a plus.
 
Responsibilities

How you will contribute:

  • Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming
  • Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs)
  • Production and QC / validation programming
  • Generating complex ad-hoc reports utilizing raw data
  • Applying strong understanding/experience of Efficacy analysis
  • Creating and reviewing submission documents and eCRTs
  • Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries
  • 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:    

  • Bachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc.
  • At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
  • Study lead experience, preferably juggling multiple projects simultaneously preferred.
  • Strong SAS data manipulation, analysis and reporting skills.
  • Solid experience implementing the latest CDISC SDTM / ADaM standards.
  • Strong QC / validation skills.
  • Good ad-hoc reporting skills.  
  • Proficiency in Efficacy analysis.
  • Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials’ data.
  • Submissions experience utilizing define.xml and other submission documents.
  • Experience supporting oncology or immunology studies would be a plus.
  • Excellent analytical & troubleshooting skills.
  • Ability to provide quality output and deliverables, in adherence with challenging timelines.
  • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.

Skills Required

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • At least 8 years SAS programming with clinical trial data in Pharma/Biotech (6 years with a Master's)
  • Study lead experience (ability to manage multiple projects)
  • Strong SAS data manipulation, analysis, and reporting skills
  • Experience implementing CDISC SDTM and ADaM standards
  • Strong QC and validation programming skills
  • Ad-hoc reporting skills using raw clinical data
  • Proficiency in efficacy analysis
  • Familiarity with drug development lifecycle and clinical trial data reporting
  • Submissions experience including define.xml and other submission documents
  • Experience supporting oncology or immunology studies
  • Excellent analytical and troubleshooting skills
  • Ability to deliver quality output on challenging timelines
  • Ability to work effectively in a globally dispersed, cross-cultural team

Cytel Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cytel and has not been reviewed or approved by Cytel.

  • Healthcare Strength Health coverage is described as comprehensive, spanning medical, dental, vision, life and disability, with FSAs/HSAs also available. Plan quality is often characterized as good to excellent, which lifts the perceived value of the overall package.
  • Retirement Support A 401(k) with employer match is consistently part of the benefits package. The plan is also characterized as well managed, contributing to a sense of baseline retirement support.
  • Fair & Transparent Compensation Overall pay is characterized as decent-to-good and broadly competitive in parts of the business, with stronger alignment noted in senior technical tracks like biostatistics and programming. The total package is often framed as respectable rather than premium.

Cytel Insights

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The Company
HQ: Waltham, MA
1,395 Employees
Year Founded: 1987

What We Do

Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com

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