Clinchoice The Principal Statistical Programmer Consultant leads statistical programming for oncology clinical trials, focusing on solid tumor studies. This role develops SDTM and ADaM datasets, programs TFLs, and supports regulatory submissions.
Responsibilities
Lead and oversee statistical programming activities for oncology clinical trials, with a primary focus on solid tumor indications.
Develop, validate, and maintain SDTM and ADaM datasets in compliance with CDISC standards.
Program and review complex TFLs (Tables, Figures, and Listings) for clinical study reports and regulatory submissions.
Support oncology efficacy and safety analyses, including Overall Survival (OS), Progression-Free Survival (PFS), Objective Response Rate (ORR), Duration of Response (DoR), and Disease Control Rate (DCR).
Demonstrate expertise in Kaplan-Meier analysis, Cox proportional hazards models, and other time-to-event analyses.
Work closely with biostatisticians, data management, clinical teams, and cross-functional stakeholders to ensure timely and high-quality deliverables.
Provide technical leadership, programming oversight, and mentorship to junior and senior statistical programmers.
Review programming specifications, analysis datasets, and statistical outputs for accuracy and consistency.
Support regulatory submissions and respond to health authority requests, as needed.
Identify opportunities to improve programming standards, processes, and efficiencies.
Qualification
Excellent communicationThe Application ProcessOnce you have submitted your CVWho will you be working for?About ClinChoice
Required
Bachelor's or Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related discipline.
Extensive experience in clinical statistical programming within the pharmaceutical or biotechnology industry.
Strong hands-on experience with SAS programming, including SAS Base, SAS Macro, and SAS/STAT.
Significant experience supporting solid tumor oncology clinical trials, preferably across Phase I, II, and III studies.
Strong knowledge of oncology efficacy endpoints, including OS, PFS, ORR, and DoR.
Expertise in CDISC SDTM and ADaM standards.
Experience developing and validating complex TFLs for clinical study reports and regulatory submissions.
Knowledge of ICH-GCP and regulatory requirements (FDA/EMA).
Excellent communication, problem-solving, and cross-functional collaboration skills.
Preferred
Experience with immuno-oncology and targeted cancer therapies.
Exposure to clinical trials involving head and neck, lung, colorectal, breast, or other solid tumor indications.
Experience with FDA or EMA regulatory submissions.
Prior experience providing technical leadership and mentoring statistical programming teams.
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.