Contribute to groundbreaking therapeutic advancements in rare genetic diseases. Collaborate with multidisciplinary teams in a dynamic, innovative environment. Enhance your expertise in a globally recognized organization.
Senior Manager Biostatistician Medical Affairs
in Healthcare + Life Sciences PermanentJob Detail
Job Description
Overview
- Lead biostatistical efforts within Medical Affairs, focusing on study design, protocol development, and statistical analysis for therapeutic advancements.
- Collaborate with cross-functional teams to ensure statistical integrity in clinical and post-approval studies.
- Provide expertise in statistical programming and data management to support regulatory submissions and scientific publications.
- Engage with external experts and manage statistical and programming support from CROs effectively.
- Contribute to the development of innovative medicines targeting rare genetic diseases.
- Ensure compliance with industry standards and guidelines in statistical practices.
- Participate in strategic initiatives to support organizational goals and therapeutic advancements.
Key Responsibilities & Duties
- Design statistical sections of study protocols, collaborating with stakeholders for optimal study execution.
- Create statistical analysis plans and provide guidance on study conduct and data interpretation.
- Collaborate with Data Management and Statistical Programming teams on data analysis and reporting.
- Prepare analysis dataset specifications and perform ad hoc analyses as needed.
- Contribute to regulatory documents, ensuring statistical accuracy and compliance.
- Summarize study data for scientific publications and presentations.
- Manage statistical and programming support provided by CROs, ensuring alignment with objectives.
- Support the Biostatistics team in achieving organizational objectives and advancing therapeutic development.
Job Requirements
- PhD in Biostatistics, Statistics, or related field with 3+ years of pharmaceutical biostatistics experience.
- Proficiency in SAS programming and familiarity with R and other statistical software tools.
- Experience with CDISC standards, including SDTM, ADaM, and CDASH.
- Understanding of industry practices in drug development and statistical methodologies.
- Experience in clinical development through Phase 3 and post-approval studies.
- Knowledge of RNAi therapeutics and rare genetic diseases is advantageous.
- Strong communication and presentation skills for effective collaboration.
- Commitment to workplace safety and compliance with health guidelines.
- ShareAustin: