Statistical Programmer

Location: Berkeley Heights Salary: competitive
Sector: Pharma & Biotech, IT, Datenmanagement und Biostatistik Type: Contract

Our client is seeking at Statistical Programmer to join their team on a long-term contract looking to last approximately 6 months with a probability of extensions.


  • Provide programming input to CRF, SAP, analysis file specifications, and tables, figures, and listings (TFLs) shells.
  • Write SAS programs to generate derived analysis datasets, perform analysis, and TFLs.
  • Perform ad hoc flexible and rapid programming arising from questions generated from planned analyses and results.
  • Perform programming validation to ensure the quality of analysis datasets and programming outputs.
  • Ensure consistency and adherence to standards within the project.
  • Provide input to the design of the clinical trial database for proper data capture and to ensure data quality.
  • Create Data Definition Tables (DDT) and converting TFLs to the required format for eSubmission.
  • Provide programming support for the preparation of integrated reports, submissions and post-submission activities.
  • Convert, verify and integrate multiple sources of incoming data for the creation of analysis datasets.
  • Serve as the lead programmer in support of NDAs, sNDAs.
  • Serve as an advisor to programmers assigned to the project to ensure high quality and timely deliverables.
  • Serve as a coordinator when multiple programming resources (e.g. CROs or contractors) are used.
  • Contribute to the creation, maintenance, and validation of standards for outputs and macros.
  • Provide training on SOPs, WPs and standard programs.
  • Contribute to the creation of naming conventions and development of the programming environment.
  • Oversee the services provided by CROs.


  • Bachelor's Degree in life science, statistics, mathematics, computer science, or related field is required; Master's Degree is preferred.
  • 7 plus years Pharmaceutical/CRO industry experience as a SAS programmer supporting clinical trials for regulatory submissions or equivalent experience.
  • Demonstrated proficiency in using SAS to produce derived analysis datasets and TFLs.
  • Thorough understanding of clinical data structures, relational database structures, and data exchange with alternate data formats.
  • Demonstrated skills in using additional software tools and applications (e.g. MS office, XML).
  • Demonstrated expertise in the handling and processing of upstream data, e.g., multiple data forms, workflow, eDC, SDTM.
  • Demonstrated expertise in providing outputs to meet downstream requirements, e.g., ADaM, Data Definition Table, e-submission.
  • In-depth understanding of regulatory, industry, and technology standards and requirements.
  • Good knowledge of statistical terminology, clinical tests, medical terminology, and protocol designs.
  • Demonstrated ability to work in a team environment with clinical team members.
  • Good planning and project management skills.
  • Good interpersonal, communication, writing and organizational skills.

Sthree US is acting as an Employment Business in relation to this vacancy.