Senior Statistical Programmer

Certara

4d

About The Position

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.

Requirements

• 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.

Nice To Haves

• Experience with the R software platform (in addition to SAS) is a plus.

Responsibilities

• 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.
• Conduct quality control and quality assurance activities on datasets and outputs
• Participate in company initiatives to improve the efficiency of end-to-end statistical programming activities, analysis, and reporting (IT, methodology, automation, quality).
• 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.

What This Job Offers

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