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Senior Statistical Programmer

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Quality Assurance
  • Multitasking
  • Teamwork
  • Detail Oriented
  • Verbal Communication Skills

Roles & Responsibilities

  • B.Sc., M.Sc., or equivalent education in Biostatistics/Statistics, Bioinformatics, Life Sciences, Mathematics, Physical Sciences, or related fields.
  • At least 6 years of clinical trials related work experience in SAS programming, analysis and reporting in drug development projects.
  • Extensive experience implementing CDISC standards, annotating CRFs, and creating SDTM/ADaM datasets and Define.xml using Pinnacle 21.
  • Experience with the R software platform (in addition to SAS) and strong verbal and written English communication; ability to work independently, pay attention to detail, and manage multiple projects in a team environment.

Requirements:

  • Use SAS and R to prepare SDTM and ADaM datasets, Tables, Listings, and Figures (TLFs), and create related documents such as aCRF, programming specifications, and define packages (including reviewer’s guides) for Phase 1–Phase 4 clinical trials.
  • Develop global tools through advanced SAS macro programming to increase the efficiency and capacity of the Statistical Programming group.
  • Perform quality control and quality assurance on datasets and outputs, and participate in initiatives to improve end-to-end statistical programming activities, analysis, and reporting (IT, methodology, automation, quality).
  • Collaborate in multidisciplinary teams led by statistical programmers, statisticians, and drug development consultants across various therapeutic areas and project complexities.

Job description

Overview:

About Certara

Certara accelerates the potential of bringing medicines to market and to patients using biosimulation software, technology, and services to transform traditional drug discovery and development. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries.

Our goal is to enable the life sciences industry’s use of data, modeling, and analytics to make better decisions across the various phases of discovery and drug development. Our software and scientists incorporate modern advances in scientific understanding, drug development experience, data analysis, and AI resulting in significant opportunities to decrease the cost and increase the probability of success for new drug approval and commercialization.

Responsibilities:

As a Statistical Programming Consultant, you will use your SAS and R programming skills to prepare SDTM and ADaM datasets, Tables, Listings, & Figures (TLFs), as well as create related documents such as aCRF, programming specifications, and define packages (including reviewer’s guides) for Phase 1 to Phase 4 clinical trials. Advanced SAS macro programming experience is required for the development of global tools that will increase the efficiency and capacity of the Statistical Programming group. Preclinical SEND dataset preparation is a plus. Experience with NDA/IND-type regulatory submissions is preferred.

 

In addition, you will conduct quality control and quality assurance activities on datasets and outputs and may participate in company initiatives to improve the efficiency of end-to-end statistical programming activities, analysis, and reporting (IT, methodology, automation, quality). You will work closely in teams led by statistical programmers, statisticians, and drug development consultants, supporting a variety of client projects across various therapeutic areas and complexities.

Qualifications:
  • B.Sc., M.Sc., or equivalent education in Biostatistics/Statistics, Bioinformatics, Life Sciences, Mathematics, Physical Sciences, or related fields.
  • At least 6 years of Clinical trials related work experience in SAS programming, analysis and reporting in the context of drug development projects is required.
  • Well experienced in the Pinnacle 21 validation process, generating Define.xml using Pinnacle 21.
  • Extensive experience in implementing CDISC standards, as well as annotating CRFs, creating specifications for SDTM and ADaM datasets.
  • Experienced in creating Define.xml and the corresponding Reviewers’ Guide for SDTM and ADaM datasets.
  • Good verbal and written communications skills in English.
  • Demonstrated knowledge of clinical drug development.
  • Proficiency in conducting advanced statistical analyses.
  • Must be independent, attention to detail, accountable to quality and timely delivery.
  • Ability to work on multiple collaborative projects, team player mentality.
  • Experience with the R software platform (in addition to SAS) is a plus.

 

Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.

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