Clinicai Statistics -Senior Statistician

TN Spain; Barcelona; Presencial; EUR 45.000 - 85.000; Jornada completa

Descripción de la vacante

Una empresa visionaria busca un Estadístico Senior que aporte su experiencia en análisis estadístico y programación. Esta posición clave implica colaborar con equipos multifuncionales para planificar y ejecutar estudios que impacten en el desarrollo de nuevos fármacos. Serás responsable de liderar sub-equipos, desarrollar planes de análisis y asegurar la precisión de los resultados. Si deseas contribuir a la investigación y desarrollo de medicamentos innovadores en un entorno dinámico y colaborativo, esta es la oportunidad perfecta para ti.

Formación

• Experiencia mínima de 2 años como estadístico en el sector farmacéutico.
• Fuerte capacidad de comunicación y trabajo en equipo.

Responsabilidades

• Colaborar con equipos para planificar estudios y ejecutar análisis estadísticos.
• Desarrollar el plan de análisis estadístico para los estudios.

Conocimientos

Comunicación efectiva

Trabajo en equipo

Análisis estadístico

Programación estadística

Educación

PhD en Bioestadística

MS en Estadística

MS en Matemáticas

Herramientas

SAS

R

Descripción del empleo

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Client:

Bayer

Location:

Barcelona, Spain

Job Category:

Other

EU work permit required:

Yes

Job Views:

2

Posted:

25.04.2025

Expiry Date:

09.06.2025

Job Description:

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Position Purpose:

A Senior Statistician independently provides statistical expertise to cross-functional teams, leads teams of statisticians and programmers, and ensures the use of appropriate and efficient statistical analysis methods during development, submission and/or life-cycle management of Bayer products according to applicable global and regional standards, procedures and regulatory guidelines.

Geographical Scope: global

Major tasks and responsibilities:

1. Collaborates with representatives from other functions to plan studies, execute analyses and report results, for example in the role of a study statistician or project statistician.
2. Leads virtual cross-functional sub-teams within DS&A.
3. Implements standard processes for routine analyses.
4. Develops the statistical analysis plan for studies (or integrated analyses).
5. Facilitates the overall organization and coordination of statistical activities.
6. Assumes responsibility for the production and accuracy of the statistical analysis and interpretation of the results.
7. Works independently on statistical questions and tasks.
8. Oversees and ensures accurate and timely delivery of statistical work outsourced to external providers.

Value added:

Statistics and statistical methodology is an integral part of drug development and life-cycle management impacting the planning, design, analysis and reporting of studies, projects and programs in order to achieve regulatory approval, scientific acceptance as well as successful product launch and maintenance.

The Senior Statistician contributes to drug research, the development of new drugs, the approval of new drugs by health and reimbursement authorities, and the life-cycle management of marketed drugs according to the major tasks and responsibilities of the position.

Contribution Context:

Work relations:

• Statisticians and Statistical Analysts
• Study Team Members and/or Clinical Team Members
• External providers (e.g. CRO, Academic groups)

Qualification:

• PhD or MS in Biostatistics, Statistics or Mathematics
• At least two years of experience as statistician with significant time spent in the Pharma, Biotech, or similar sector
• Strong communication skills and ability to work both independently and collaboratively
• Good knowledge of statistical programming languages (including SAS and/or R)