Biostatistician Leader, HTA Statistics

Vor 2 Tagen


Zürich, Zürich, Schweiz MSD Vollzeit
About the Job
We are seeking a highly skilled Biostatistician Leader, HTA Statistics to join our team at MSD. As part of the Biostatistics and Research Decision Sciences (BARDS) organization, you will provide comprehensive analytical and methodological expertise to support the company's strategic goals. You will apply your skills and experience in support of developing scientifically based arguments aiming to provide fair accessibility to our company's drugs and vaccines making a real difference in patients' lives.

Responsibilities
The ideal candidate will have a strong background in biostatistical methodologies and experimental design, including meta-analyses and time to event methodologies. You will be responsible for designing, developing, and evaluating tools and methods for HTA evaluations, giving input to V&I teams as a statistical representative, leading and providing statistical support to cross-functional teams preparing HTA submissions, and planning and executing independently on ongoing HTA evaluations, including analysis and interpretation of HTA results. You will ensure that project deliverables meet analysis and submission requirements. Additionally, you will collaborate with Statistical Programming lead to implement methodologies and ensure high-quality deliverables for HTA submissions, prepare written reports to effectively communicate results of HTA evaluations to cross-functional stakeholders, design, develop, and apply HTA methods, processes, and standard tools, and provide responses for queries from HTA agencies related to statistical analyses and methodological rationale.

Requirements
To be successful in this role, you will need a PhD or equivalent degree in statistics/biostatistics or a related discipline with a minimum of 6 years relevant work experience, or Master's with a minimum of 9 years relevant work experience, or bachelor's with at least 15 years relevant experience. You will require good knowledge of biostatistical methodologies and experimental design, working knowledge of statistical and data processing software, e.g., SAS and/or R, team-oriented collaboration skills, and strong communication skills. Experience in CDISC data standards (SDTM, ADAM), understanding of biology of disease and drug development, publication record in peer-reviewed statistical/medical journals, managing teams, performance management, effective communication skills, and ability to develop people and teams are also essential.

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