Statistical Programmer

Systimmune•Princeton, NJ
•$80,000 - $100,000•Hybrid

About The Position

The Statistical Programmer will support statistical programming activities for clinical trials, including generating SDTM and ADaM datasets, tables, figures, and listings (TFLs). This early-career role offers the opportunity to learn and grow in a fast-paced biotech environment while gaining exposure to end-to-end clinical development. The position is hybrid, with a minimum of three days onsite at the Princeton, New Jersey office.

Requirements

  • 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, including SDTM and ADaM.
  • Hands-on experience developing and validating SDTM and ADaM datasets and statistical outputs, including 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.

Responsibilities

  • Collaborate with biostatisticians and cross-functional study team members to deliver statistical analysis and reporting outputs within 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 Define.xml and reviewer’s guides.
  • Develop and validate tables, figures, and listings (TFLs) for 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 to produce analysis datasets and outputs in compliance with SOPs and industry standards.

Benefits

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