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Sr. Statistical Programmer

Job in Edison, Middlesex County, New Jersey, 08818, USA
Listing for: Katalyst CRO
Full Time position
Listed on 2025-11-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Lead the development, validation, and documentation of CDISC-compliant SDTM and ADaM datasets for CNS clinical trials, ensuring traceability from raw data through analysis outputs.
  • Program and QC tables, listings, and figures (TLFs) for interim and final clinical study reports, regulatory submissions, and client deliverables.
  • Interpret study protocols, SAPs, and data standards to translate clinical objectives into analysis‑ready datasets and outputs.
  • Act as primary programming contact for assigned studies, collaborating closely with statisticians, data managers, and medical writers in a fully remote, fast‑paced environment.
  • Conduct independent QC and peer review of programming deliverables to ensure accuracy, compliance, and reproducibility of results.
  • Develop and maintain study‑specific programming specifications, documentation, and macros to streamline programming efficiency.
  • Support regulatory submission readiness, including define.xml, reviewer's guides, and response to agency questions.
  • Proactively identify and resolve data or programming issues that may impact timelines or analysis accuracy.
  • Mentor and support junior programmers, fostering quality, consistency, and CDISC best practices across projects.
  • Contribute to process improvement initiatives and template development for a growing statistical programming team.
Requirements
  • Bachelor’s or master’s degree in Statistics, Biostatistics, Computer Science, Mathematics, or a related scientific discipline; or a combination of education, training and experience that enables effective performance in this role.
  • 5+ years of statistical programming experience within the pharmaceutical, biotech, or CRO industry, preferably in CNS trials.
  • Experience leading programming efforts for clinical trials, including dataset development, TLF production, and QC oversight.
  • Advanced proficiency in SAS, with hands‑on experience using CDISC SDTM and ADaM standards.
  • Experience with R or Python for data manipulation, automation, or reporting is highly valued, though not required.
  • Experience with regulatory submissions and standards, including Pinnacle 21, define.xml, and reviewer's guides.
  • Experience working remotely and comfortable with virtual collaboration tools.
  • Excellent written and verbal communication skills, and ability to explain technical concepts to non‑programmers and cross‑functional stakeholders.
  • Strong interpersonal and teamwork skills, with the ability to work independently and prioritize across multiple projects.
  • High attention to detail and focus on quality, reproducibility, and traceability in all deliverables.
  • Demonstrated ability to follow SOPs, adhere to project timelines, and contribute to continuous improvement of programming processes.
  • Proactive problem‑solver and critical thinker, willing to adapt and thrive in a fast‑paced CRO environment.
  • Capable of managing multiple tasks and priorities in a dynamic environment with shifting timelines and evolving sponsor needs.
  • Independent decision‑making ability on complex programming and data‑related decisions.
  • Anticipate analytical needs, understand downstream impacts of programming decisions, and proactively identify gaps in data and specifications.
  • Comfortable working across functional teams (clinical, data management, biostatistics, medical writing) and shifting quickly between strategic and tactical tasks.
  • Demonstrate flexibility, adaptability, initiative, and the ability to troubleshoot efficiently in a collaborative team setting.

Seniority level:
Not Applicable |

Employment type:

Contract | Job function:
Information Technology | Industries:
Pharmaceutical Manufacturing

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