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Jobs · Analyst · Washington

Statistical Programmer

SystImmune · Redmond, WA · 1 wk ago
On-siteAnalyst$80k–$100k/yrFull-time

About the role

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company with locations in Redmond, WA and Princeton, NJ, specializing in innovative cancer treatments using bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). 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 early-career professionals eager to learn and grow in a fast-paced biotech environment with exposure to end-to-end clinical development.

This position is full-time and onsite at our Redmond, WA location, with a planned move to Bothell, WA in fall 2026. Consideration for Princeton, NJ may be offered on a case-by-case basis.

Responsibilities

  • Collaborate with biostatisticians and cross-functional study team members to deliver statistical analysis and reporting outputs aligned 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 represent 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.

Qualifications

  • Master’s degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific discipline.
  • 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).
  • Prior experience or exposure to oncology studies is preferred.
  • Strong analytical, problem-solving, and organizational skills.
  • Effective communication and interpersonal skills, with the ability to work collaboratively in cross-functional teams.

Pay

The expected base salary range for this position is $80,000 – $100,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, exceptional candidates whose background and expertise exceed the role’s requirements may receive an offer toward the higher end.

Benefits

  • 100% paid employee premiums for medical, dental, and vision coverage.
  • Short-term and long-term disability (STD, LTD).
  • 401(k) plan with a 50% company match of up to 3% and a vesting schedule of 5 years.
  • 15 paid time off (PTO) days per year, plus sick leave.
  • 11 paid holidays.

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