Biostatistician (RWE)

Location: Remote in France; listed locations include Paris, Biarritz, Bordeaux, Grenoble, Lyon, Marseille, Nantes, Rennes, and Toulouse.

Company

hirify.global is a French remote patient monitoring and clinical research company developing solutions for oncology, gastroenterology, and psychiatry using ePRO collection, AI techniques, and real-world healthcare data.

What you will do

• Draft and contribute to Statistical Analysis Plans and methodological documentation.
• Program analyses in R and Python, with basic SQL/PostgreSQL.
• Contribute to the design, methods, and execution of Real-World Evidence and Medical Affairs studies.
• Set up data quality checks, including consistency checks and cohort rules, and document assumptions.
• Produce decision-ready tables, figures, and reports, and explain results to non-statisticians and external stakeholders.

Requirements

• Ability to apply biostatistical methods including survival analysis with Kaplan-Meier, log-rank, and Cox models; regression; GLM/GLMM; and matching or weighting.
• Ability to write clean, reproducible code in R and Python, with basic SQL.
• Experience working with patient healthcare data, including quality, traceability, and data constraints.
• Ability to produce clear statistical and methodological documentation, including protocols, SAPs, and reports.
• Ability to build meaningful data visualisations and communicate insights to diverse audiences.
• High methodological rigor, attention to detail, autonomy, ownership, prioritization, and ability to manage multiple studies in parallel.
• Clear communication, collaborative approach, and resilience when facing methodological push-back.
• 2–4 years of experience in biostatistics or RWE, including in a CRO, consultancy, or similar environment.
• Experience delivering analyses on healthcare datasets, building reusable outputs such as codebases, pipelines, or reporting templates, and working closely with non-technical stakeholders.

Nice to have

• Knowledge of good practices and guidelines such as GxP and ICH E9/E9(R1).
• Exposure to machine learning applied to healthcare data.
• Experience working with external vendors, including pharmaceutical companies and CROs.

Culture & Benefits

• Mission focused on improving care through remote patient monitoring, data, and clinical research.
• Work at the intersection of healthcare, data, and therapeutic innovation.
• Broad scope across Real-World Evidence, Medical Affairs studies, standardisation, and automation.
• Collaboration with a dynamic team combining medical and pharmaceutical expertise.

Hiring process

• 15-minute screening covering motivation, prerequisites, and context.
• 45-minute manager interview covering role expectations, methods, and collaboration.
• 45-minute to 1-hour case study, followed by team-fit panel interviews of approximately 30 minutes each.