Contract Statistical Programmer
Iovance Biotherapeutics
| Company | Iovance Biotherapeutics |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 24 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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.
Participate in development and review programming data specifications.
Maintain clear, thorough documentation to support audit readiness and regulatory inspection.
Must adhere to Iovance Biotherapeutics’ core values, policies, procedures, and business ethics.
Perform miscellaneous duties as assigned.
Required Education, Skills, and Knowledge
Master’s degree in mathematics, statistics, computer science, biostatistics, data science or a related quantitative field with 5+ years of relevant industry experience; or bachelor’s degree in mathematics, statistics, computer science, biostatistics, data science or a related quantitative field with 8+ years of relevant industry experience
Strong proficiency in SAS and/or R for clinical trial data analysis and reporting.
Working knowledge of CDISC standards (SDTM, ADaM, Define-XML) and regulatory submission requirements.
Experience producing TLFs and SDTM/analysis datasets in a pharmaceutical, biotechnology, or CRO setting.
Experience with oncology clinical trials or cell/gene therapy programs.
Strong analytical, problem-solving, and communication skills.
Familiarity with regulatory guidelines (FDA, ICH) and GxP-compliant programming practices.
Excellent attention to detail, problem-solving skills, and the ability to manage multiple priorities independently in a remote environment.
Preferred Education, Skills, and Knowledge
Master’s degree in mathematics, statistics, or computer science is strongly preferred.
Hands-on experience developing AI agents or applying AI/ML-based automation tools to streamline data analysis, programming workflows, or reporting processes is a significant plu
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