Senior Scientist, Biostatistics and Real World Evidence

A global leader in scientific research and health innovation is seeking a Senior Scientist in Biostatistics and Real World Evidence at their Neuchâtel facility in Switzerland. This organisation employs over 80,000 staff worldwide, boasts advanced research facilities on several continents, and distributes its innovative health products in over 180 countries.

The company is committed to delivering significant advancements in health and scientific research, making this role crucial for those aiming to impact global health practices and policies through robust statistical analysis.

Your Role as Senior Scientist, Biostatistics and Real World Evidence:

• Participate in the design, development, and documentation of clinical and real-world evidence research studies.
• Serve as the statistical lead on assigned studies, applying rigorous statistical and quantitative epidemiological principles to assess the efficacy of alternative health products.
• Ensure compliance with international guidelines such as ICH and STROBE, as well as internal SOPs, providing expertise on Good Clinical Practice and Good Epidemiological Practice principles.
• Provide leadership in statistical science, mentoring team members on statistical issues and overseeing the statistical integrity of study deliverables.
• Manage relationships with Clinical Research Organisations (CROs), ensuring all statistical activities are completed on time and meet the expected quality standards.

Experience and Qualifications for the Senior Scientist, Biostatistics and RWE Role:

• An advanced degree (MSc/PhD preferred) in Biostatistics, Biometrics, or a related statistical field.
• Extensive experience in a pharmaceutical, medical devices, consumer goods, or clinical research environment.
• Strong proficiency in R, with knowledge of SAS considered an advantage.
• Familiarity with CDISC (SDTM, ADaM) and OMOP standards is beneficial.
• Experience with big data analysis, including the use of machine learning algorithms on electronic medical records, is desirable.
• Excellent interpersonal, organisational, and leadership skills, capable of working both independently and as part of a team.
• Fluent in English, both written and spoken.

This position provides an excellent opportunity to drive innovative research and contribute significantly to global health solutions. If you are looking to leverage your statistical expertise in a role that offers the freedom to innovate and make a tangible impact, apply today for immediate consideration. For more information or to explore similar opportunities in the sector, please reach out directly.