Lead Statistician – Real World Evidence CDI- MF

Pierre Fabre; Toulouse; Hybride; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading pharmaceutical company in Toulouse is seeking a highly skilled Lead Statistician for Real World Evidence studies. The ideal candidate will possess an advanced degree in Statistics and at least 6 years of experience in the pharmaceutical industry. Responsibilities include designing statistical analyses, managing projects, and collaborating with clinical teams. The position offers remote or hybrid working options and a competitive benefits package including profit-sharing and additional holidays.

Prestations

Attractive remuneration

Profit-sharing

Health insurance

Transport benefits

Additional holidays

Qualifications

• Minimum of 6 years of experience in the pharmaceutical industry or CRO with significant involvement in Real World Evidence studies.
• Experience with interventional studies is a plus.

Responsabilités

• Participate in the conception and design of Real-World Evidence studies.
• Act as the point of contact for all statistical aspects of projects.
• Draft and validate key study documents.

Connaissances

Advanced statistical analysis skills

Proficiency in SAS software

Strong understanding of real-world evidence studies design and methodology

Excellent written and verbal communication skills in English

Creativity proactivity rigor autonomy and collaborative spirit

Formation

Advanced degree in Statistics or a related field

Outils

SAS

Description du poste

Who we are

Pierre Fabre is the 2nd largest dermo-cosmetics laboratory in the world the 2nd largest private French pharmaceutical group and the market leader in France for products sold over the counter in pharmacies.

Its portfolio includes several medical franchises and international brands including Pierre Fabre Oncologie Pierre Fabre Dermatologie Eau Thermale Avène Klorane Ducray René Furterer A-Derma Naturactive Pierre Fabre Oral Care.

Established in the Occitanie region since its creation and manufacturing over 95% of its products in France the Group employs some 10000 people worldwide. Its products are distributed in about 130 countries.86% of the Pierre Fabre Group is held by the Pierre Fabre Foundation a government-recognized public-interest foundation while a smaller share is owned by its employees via an employee stock ownership plan.

In 2019 Ecocert Environment assessed the Groups corporate social and environmental responsibility approach in accordance with the ISO 26000 sustainable development standard and awarded it the Excellence level.

Pierre Fabre is recognized as one of the Worlds Best Employers 2021 by Forbes. Our group is ranked in the Top 3 in the cosmetics industry and in the Top 10 in the pharmaceutical industry worldwide.

Your mission

Pierre Fabre Laboratories are hiring a highly skilled and experienced Lead Statistician Real World Evidence (RWE) to join the Biometry Department part of the Data Science & Biometry Department based in Toulouse (Oncopôle) or Boulogne. This position can be filled remotely.

This position requires a strong expertise in the application of statistics within the context of Real-World Evidence studies. 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 RWE is a must the successful candidate will also contribute to clinical trials including randomized controlled trials (RCTs).

The Biometry Department at Pierre Fabre supports all drugs being developed by the company. The department encompasses Data Management Programming and Statistics working cohesively to ensure the successful completion of both Randomized Controlled trials and Real-World evidence studies.

Pierre Fabre is a global pharmaceutical company dedicated to the research development and commercialization of innovative drugs. Our Biometry Department is integral to our success providing comprehensive support for all drug development initiatives including Randomized Controlled Trials (RCTs) and Real-World Evidence (RWE) studies.

Your role within a pioneering company in full expansion

Key Responsibilities

• Participate in the conception and design of Real-World Evidence studies providing expert statistical support including study design sample size determination definition of study objectives and evaluation criteria writing the statistical section of the protocol and development of the statistical analysis plan.
• Act as the primary point of contact internally and externally for all statistical aspects of assigned projects and studies attending project / study meetings and offering statistical guidance.
• Contribute to the selection and evaluation of subcontractors establishing clear requirements and evaluating proposals.
• Draft and / or validate key study documents such as synopses protocols CRFs data review plans statistical analysis plans statistical results study reports and other study-level documents while ensuring timely deliverables.
• Program and / or validate statistical analyses using SAS software.
• Collaborate with project team and clinicians to interpret results develop key messages and contribute to scientific publications
• Work with clinicians and medical writers to communicate findings to clinical and regulatory partners prepare Response to Questions from regulatory agencies (EMA / FDA / PMDA / ) and prepare summaries of results for regulatory documents
• Contribute to the RWE strategy for the submission dossier to FDA and EMA.
• Oversee the review of statistical documents within the team and supervise operational activities outsourced to CROs ensuring adherence to cost timeline and data quality requirements.
• Follow all industry standards including ensuring that all statistical related documentation is included in the electronic Trial Master File (eTMF)..

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 CE...

Your role within a pioneering company in full expansion :

Who you are

Qualifications / Experience

• Advanced degree in Statistics (Masters 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 significant involvement in Real World Evidence studies from the outset.

Mandatory Skills

• Advanced statistical analysis skills
• Proficiency in SAS software
• Strong understanding of real-world evidence studies design and methodology
• Familiarity with the specific methodologies and regulations associated with Real-World evidence studies.
• Comprehensive understanding of both primary data collection and secondary data re-utilization in studies.
• Familiarity with regulatory guidelines (ICH EMA FDA NICE ENcEPP)
• 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 interventional studies
• Knowledge of CDISC standards

Terms of Employment

• Full-time position.
• Work location : full remotely or hybrid with 2 days per week from home.

Application Process

Interested candidates should submit their resume and a cover letter detailing their experience and qualifications for this position.

The hiring manager is Florence Carrère Biometry Manager.

The Head of the Biometry Department is Guillaume Desachy.

We look forward to welcoming a new member to our dedicated and innovative team at Pierre Fabre.

We are convinced that diversity is a source of fulfillment social balance and complementarity for our employees which is why our offers are open to all without restriction.

Key Skills

Spss,R,Regression Analysis,Stata,Survival Analysis,Clinical Trials,Statistical Software,Data Mining,SAS,Statistics,Data Analysis Skills,Statistical Analysis

Employment Type: Full-Time

Experience: years

Vacancy: 1