City London, Opfikon Job Type Full Time Country / State Switzerland - Zürich, United Kingdom Function Category Investment Banking Join us At UBS, we know that its our people, with their diverse skills, experiences and backgrounds,
CSLs R&D organization is accelerating innovation to deliver greater impact for patients. With a project-led structure and a focus on collaboration, we’re building a future-ready team that thrives in dynamic biotech ecosystems. Joining CSL now means
The Director, Statistical Programming provides leadership and expertise in driving the development and maintenance of the CSL statistical programming capabilities which is required to meet regulatory obligations. Manages a team of programmers supporting clinical trial and integrated analyses,
The Senior Statistical Programmer is responsible for providing hands-on support and technical guidance on clinical study teams. The development of study and ad hoc output including, but not limited to: ADaM datasets, tables, figures and listings
Job Description You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of biostatistics project lead. In this role, you
The Principal, Clinical Data Management Lead provides leadership and oversight for clinical data build, programming, and vendor deliverables across in-house, hybrid, and outsourced studies, ensuring alignment with CSL standards, regulatory requirements, and industry best practices . The
BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. We are looking for a highly motivated, proactive, and strategic statistician with strong expertise in EU HTA methodologies to join
Company Description Our client, a leading international private bank, is seeking a Senior Derivatives Quantitative Analyst to join its Quantitative Analytics team. This role focuses on the development, validation, and enhancement of pricing and risk management
Responsibilities Close collaboration with cross-functional teams to support the quantitative needs for HTA submissions in Europe Provide strategic statistical input into evidence generation activities and analyses required for the EU JCA Provide quantitative support for local