Lead biostatistical analysis and reporting for NDA submissions of clinical studies at Gilead. Collaborate with cross-functional teams to meet clinical development project deliverables and timelines.
Responsibilities
Lead biostatistical analysis and reporting, document review and data inclusion for NDA submissions of assigned studies by collaborating with cross-functional partners
Provide statistical consultation on clinical development plans, clinical trial design and clinical study endpoints
Calculate sample size, authoring statistical analysis plans and provide biostatistical input into clinical development documentation, scientific publications and presentations, and regulatory filings
Oversee and contribute to completion of all technical and operational statistical activities for a group of clinical trials
Direct internal and external teams in the definition, execution and completion of statistical activities for one or more molecules or marketed products of increasing complexity
Participate in cross-functional clinical development planning and protocol design and review discussions
Advise internal and external partners on statistical analysis strategies, reliability of measurements and interpretation of statistical results
Gather, organize and analyze different data sources to enable delivery of special projects and / or the statistical analysis plan and clinical study endpoints for assigned products
Review and analyze safety reporting, biomarker analyses and other aspects of clinical trial monitoring
Use advanced statistical software, methods, and techniques to analyze and interpret research data
Plan and document computer data file structure; develop, program, manage, and maintain statistical databases; perform or supervise data entry
Develop enhancements to statistical software, as appropriate, and maintain knowledge of current and emerging trends in statistical analysis methodologies and tools.
Requirements
Bachelor’s degree and 8 years of experience OR Master’s degree and 6 years of experience OR PhD/ PharmD and 2 years of experience
PhD in biostatistics or related discipline with relevant experience in statistical analysis of biomedical data using SAS software in the biopharma industry, healthcare, consulting, academia or a related environment
PhD with 4+ years’ biostatistics experience is preferred
MS in biostatistics or related discipline with 6+ years’ relevant experience in statistical analysis of biomedical data using SAS software
Multiple years’ biostatistics or related experience, including experience effectively leading small projects and project teams.
Significant biomedical statistical analysis experience and experience working with relevant software.
Experience developing software and other tools to support statistical analysis of biomedical or related data.
Strong proficiencies in software and other tools used typically used by Biostatistics.
Proven effectiveness managing projects and teams.
Demonstrated ability to be a fast learner.
Demonstrated ability to be flexible and adaptable to change, to move between projects easily and provide support/expertise where needed.
Advanced knowledge of underlying statistical principles, concepts, practices, standards, processes and tools.
Advanced knowledge of biostatistics best practices and tools and ability to apply this to improve overall results.
Strategic thinking in advising others on statistical requirements and opportunities to improve study or other project outcomes.
Knowledge of FDA and EMA regulations, ICH guidelines, GCP and familiarity with standard clinical procedures.
Strong communication and organizational skills.
Benefits
company-sponsored medical, dental, vision, and life insurance plans
discretionary annual bonus
discretionary stock-based long-term incentives (eligibility may vary based on role)
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