Senior Study Statistician - Clinical Trials Leader

Sobi; Switzerland; Remote; CHF 150,000 - 210,000; Full time

Job summary

Sobi is seeking a Senior Statistical Scientist to provide expert statistical support across studies. The role entails leadership and independence, including study design, SAP development and regulatory interactions.

You will drive statistical quality and timely delivery in collaboration with internal teams and CROs. The position requires strong knowledge of CDISC standards, programming in SAS (R desirable), and several years in pharmaceutical statistics.

Qualifications

• Bachelor of Science in mathematical statistics or equivalent.
• Master of Science or PhD in mathematical statistics or equivalent.
• Minimum 5 years of experience as a statistician in pharma, CRO, or related field.
• Experience as study statistician or in multiple phases of clinical development.
• Experience with statistical programming in SAS; R knowledge desirable.
• Experience in regulatory submission and defense activities.

Responsibilities

• Oversee statistical analyses for assigned studies with high quality and timely delivery.
• Provide leadership to in-house and CRO statisticians.
• Support study design to meet objectives and regulatory requirements.
• Develop and review SAPs and study-level deliverables.
• Contribute to regulatory submissions and CSR publications.
• Keep up-to-date with new statistical methods and guidelines.

Skills

SAS programming

R programming

Study design

SAP development

Regulatory submissions

CDISC (SDTM/ADaM)

Statistical methodology

Leadership

Cross-functional collaboration

Communication

Education

BSc in Statistics

MSc or PhD in Statistics

Tools

SAS

R

Job description

Sobi is seeking a Senior Statistical Scientist to provide expert statistical support across studies. The role entails leadership and independence, including study design, SAP development and regulatory interactions.

You will drive statistical quality and timely delivery in collaboration with internal teams and CROs. The position requires strong knowledge of CDISC standards, programming in SAS (R desirable), and several years in pharmaceutical statistics.