Senior Biostatistics Manager (Remote from Italy)

Senior Biostatistics Manager (Remote from Italy)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Biostatistics Manager in Italy.

This role sits at the center of advanced Real‑World Evidence initiatives, supporting high‑impact studies for leading pharmaceutical and biotech organizations. You will lead complex statistical programs, contribute to post‑market and regulatory strategies, and ensure scientific rigor across study design, analysis, and reporting. Working within a collaborative consulting environment, you will partner closely with cross‑functional teams and senior stakeholders. The position combines hands‑on statistical expertise with strategic leadership and external visibility. Your work will directly influence regulatory decisions and scientific publications. This is an ideal opportunity for an experienced biostatistician looking to shape the future of evidence‑based healthcare.

Accountabilities

• Lead complex RWE studies and multi‑protocol programs, providing end‑to‑end statistical oversight and coordination across teams and locations.
• Develop and review complex Statistical Analysis Plans, ensuring methodological soundness and regulatory alignment.
• Perform senior‑level review of Tables, Figures, and Listings prior to client delivery.
• Contribute to protocol development by authoring statistical sections under senior statistical guidance.
• Act as a subject matter expert, supporting internal initiatives, procedural documentation, and best practices.
• Participate in bid defenses, client meetings, and strategic discussions as a statistical lead.
• Present insights and share knowledge internally and at external scientific conferences and forums.

Requirements

• Advanced degree in biostatistics, computer science, or a related field; a doctoral degree is strongly preferred.
• At least 5 years of experience as a Lead Biostatistician within a CRO, biotech, or pharmaceutical environment.
• Strong programming expertise in SAS, including non‑parametric methods, linear and non‑linear models, categorical data, and survival analysis.
• Proven experience working with SDTM and ADaM datasets, as well as producing high‑quality Tables, Figures, and Listings.
• Solid understanding of observational study design, analysis, and reporting processes.
• Demonstrated ability to clearly communicate complex statistical concepts to technical and non‑technical audiences.
• Strong organizational skills, attention to detail, and an autonomous yet collaborative working style.

Benefits

• Opportunity to work on high‑visibility, global Real‑World Evidence projects.
• Flexible working arrangements, including remote work options.
• Exposure to international clients, scientific publications, and regulatory‑driven studies.
• Collaborative consulting environment focused on innovation and scientific excellence.
• Professional growth through leadership opportunities and knowledge‑sharing platforms.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Other

Industries

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