Statistical Programmer

Systimmune•Redmond, WA

6d•$80,000 - $100,000•Onsite

About The Position

The Statistical Programmer will support statistical programming activities for clinical trials, including generating SDTM/ADaM datasets, tables, figures, and listings (TFLs). This role is ideal for someone early in their career who is eager to learn and grow in a fast-paced biotech environment with exposure to end-to-end clinical development. This position is full-time onsite at our Redmond, WA location and we will be moving to our new location in Bothell, WA fall 2026. We will consider candidates for our Princeton, NJ location on a case by case basis.

Requirements

Master’s degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific discipline, with 0–2 years of experience in statistical programming within the pharmaceutical/biotech industry or a CRO.
Proficiency in SAS programming, preferably with experience in a clinical trial environment.
Working knowledge of CDISC standards (SDTM and ADaM).
Hands-on experience in developing and validating SDTM and ADaM datasets, as well as statistical outputs (tables, figures, and listings).
Strong analytical, problem-solving, and organizational skills.
Effective communication and interpersonal skills, with the ability to work collaboratively in cross-functional teams.

Nice To Haves

Prior experience or exposure to oncology studies is preferred.

Responsibilities

Collaborate with biostatisticians and cross-functional study team members to deliver statistical analysis and reporting outputs in line with project timelines.
Review study documents including statistical analysis plans (SAPs), CRFs, database specifications, and data transfer specifications.
Create and/or review SDTM/ADaM mapping specifications and annotated CRFs (aCRFs).
Generate and/or validate SDTM and ADaM datasets, including associated Define.xml and reviewer’s guides.
Develop and validate tables, figures, and listings (TFLs) to support clinical study analyses, regulatory submissions, conferences, and publications.
Assess the quality, integrity, and consistency of analysis datasets, including cross-study analyses where applicable.
Develop SAS programs and macros to automate dataset generation and reporting deliverables.
Contribute to process improvements and enhancements of the statistical programming environment.
Participate in study team meetings and representing statistical programming in cross-functional discussions.
Apply knowledge of clinical trial design, CDISC standards, and regulatory requirements while producing analysis datasets and outputs in compliance with SOPs and industry standards.