Remote
Contract Statistical Programmer
About this role
Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors.
We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer. Overview Iovance is seeking a Contract Statistical Programmer to support clinical development programs by developing, validating, and maintaining statistical programming deliverables for clinical studies and regulatory submissions. This role will work closely with statisticians, data management, and other cross-functional teams to ensure high-quality and timely delivery of datasets, tables, listings, and figures in a GxP-compliant environment.
The ideal candidate combines strong programming expertise with a solid foundation in statistics or quantitative sciences and thrives in a collaborative, fast-paced biotech setting. Essential Functions and Responsibilities Develop, validate, and maintain SAS and/or R programs for the creation of SDTM, ADaM datasets, and TLFs in accordance with CDISC standards. Support statistical analyses for periodic safety reports, publications, conference presentations, IDMC/DSMB reviews, clinical study reports (CSRs), regulatory submissions, health authority requests and other ad hoc analyses and reporting needs.
Ensure all programming activities comply with FDA 21 CFR Part 11, GxP, and internal SOPs. Collaborate with biostatisticians, data managers, and clinical teams to define analysis specifications and resolve data issues. Perform quality control and detailed review of statistical programs and outputs. Develop and maintain reusable macros, templates, and automation tools to improve programming efficiency. Contribute to the evaluation and implementation of emerging technologies and modern programming approaches, including AI-based tools and agents, to enhance statistical programming workflows.