Biotech Statistical Programmer — SDTM/ADaM (Hybrid)

SystImmune, Inc.

Princeton (NJ)

Hybrid

USD 80,000 - 100,000

Full time

9 days ago

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Benefits offered by this job

Full medical/dental/vision premiums
STD/LTD
401(k) with company match
Vesting after 5 years
15 PTO days
Sick leave
11 paid holidays

Job summary

SystImmune, Inc. is seeking a Statistical Programmer to support clinical trial programming, including SDTM/ADaM datasets, tables, figures, and listings.

Ideal for those early in their career, offering hands-on experience in end-to-end clinical development in a hybrid Princeton, NJ setting. The role requires a Master’s degree or higher in Biostatistics/Statistics/Mathematics and 0–2 years of experience, with proficiency in SAS and CDISC standards.

Qualifications

  • Master’s degree or higher in Biostatistics/Statistics/Mathematics with 0–2 years of statistical programming experience.
  • Proficiency in SAS programming, preferably in a clinical trial environment.
  • Working knowledge of CDISC SDTM and ADaM standards.
  • Hands-on experience developing/validating SDTM/ADaM datasets and related outputs.

Responsibilities

  • Collaborate with biostatisticians and cross-functional study teams to deliver analysis outputs aligned with project timelines.
  • Review SAPs, CRFs, database specifications, and data transfer specs.
  • Create and/or review SDTM/ADaM mappings and annotated CRFs (aCRFs).
  • Generate/validate SDTM/ADaM datasets, including Define.xml and reviewer’s guides.

Skills

SAS programming
CDISC standards (SDTM/ADaM)
Statistical programming
Oncology experience (preferred)
Analytical thinking
Communication skills

Education

Master’s degree or higher in Biostatistics/Statistics/Mathematics

Job description

SystImmune, Inc. is seeking a Statistical Programmer to support clinical trial programming, including SDTM/ADaM datasets, tables, figures, and listings.

Ideal for those early in their career, offering hands-on experience in end-to-end clinical development in a hybrid Princeton, NJ setting. The role requires a Master’s degree or higher in Biostatistics/Statistics/Mathematics and 0–2 years of experience, with proficiency in SAS and CDISC standards.

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