Lead Statistical Programmer- CDI -M/F
Role details
Job location
Tech stack
Job description
- Participate in the design and execution of RCTs and RWE studies, ensuring high-quality programming support.
- Develop and validate programs for data analysis, reporting, and visualization in accordance with regulatory guidelines and standards (e.g., ICH, EMA, FDA, PMDA).
- Collaborate with statisticians, data managers, and other stakeholders to ensure accurate and efficient data processing and analysis.
- Assist in the selection and evaluation of subcontractors, establishing clear requirements and evaluating proposals.
- Contribute to the preparation of regulatory documents and scientific publications by providing programming support and expertise.
- Follow all industry standards, including ensuring that all biometry-related documentation is included in the electronic Trial Master File (eTMF).
Requirements
We are currently seeking a highly skilled and experienced Lead Statistical Programmer to join our Biometry Department, part of the Data Science & Biometry Department based in Toulouse (31, Langlade, Oncopole) or Boulogne (92). This position requires a strong expertise in the application of programming within the context of randomized controlled trials (RCTs). The successful candidate will be agile and adaptable, capable of working in a matrix-organized environment where collaboration across Data Management, Programming, and Statistics is essential. Whilst an excellent track record in Randomized Controlled Trials is a must, the successful candidate will also contribute to Real Worl Evidence (RWE) studies., Your skills at the service of innovative projects:
- Advanced degree in Statistics (Master's Degree, ENSAI, ISUP, or PhD) or a related field.
- A minimum of 6 years of experience in the pharmaceutical industry or a Contract Research Organization (CRO), with hands-on experience in RCTs and RWE studies.
- Programming in CDISC (SDTM & ADaM) and writing associated documentation (Define, ADRG...)
Mandatory Skills
- Proficiency in SAS and R programming languages
- Extensive experience in Randomized Controlled Trials (RCTs)
- Strong knowledge in CDISC (SDTM & ADaM) and associated documents (Define, ADRG, ...)
- Strong knowledge of international scientific and regulatory recommendations (e.g., ICH, EMA, FDA)
- Ability to collaborate effectively with statisticians, data managers, and other stakeholders
- Excellent written and verbal communication skills in English
- Excellent communication and cooperation skills, with a rigorous and pragmatic approach.
- Creativity, proactivity, rigor, autonomy, and collaborative spirit.
- Strong ability to manage multiple studies simultaneously and maintain organization.
Optional Skills
- Experience with other statistical programming languages (e.g., Python, SQL)
- Knowledge of Real-World Evidence (RWE) studies
- Experience in EMA, FDA or PMDA submissions
- Experience in oncology clinical trials
Benefits & conditions
We offer an attractive remuneration/benefits package: Incentives, profit-sharing, Pierre Fabre shareholding with matching contribution, health and provident insurance, 16 days of holidays (RTT) in addition to 25 days of personal holidays, public transport participation, very attractive CE...