Senior Bio Statistician-R programming:-ADaM,ANOVA, ANCOVA
10 hours ago
- Develop and implement statistical analysis plans for clinical studies.
- Perform statistical analyses using R, focusing on ADaM, ANOVA, and ANCOVA methodologies.
- Collaborate with clinical research teams to define analysis objectives and timelines.
- Create and validate datasets to ensure accuracy and compliance with regulatory standards.
- Generate and interpret statistical results to contribute to clinical study reports.
- Work closely with data managers to design data collection tools and processes.
- Conduct exploratory data analyses and prepare visualizations to communicate findings effectively.
- Participate in protocol development and provide statistical input on study design.
- Mentor and supervise junior statisticians and biostatisticians.
- Conduct peer reviews of statistical analyses and reports executed by peers.
- Stay current with biostatistics trends, methodologies, and regulatory guidance.
- Present statistical findings to stakeholders and at scientific meetings.
- Assist in regulatory submissions by preparing statistical sections of FDA submissions and other documents.
- Participate in interdisciplinary project meetings and collaborate with cross-functional teams.
- Continuously improve statistical practices and methodologies within the team.
- Master's or PhD in Biostatistics, Statistics, or related field.
- Minimum of 5 years of experience in a biostatistical role within the pharmaceutical or biotechnology industry.
- Proficiency in R programming for statistical computing and data visualization.
- Experience with ADaM data standards and regulatory guidelines.
- Strong knowledge of ANOVA, ANCOVA, and other statistical methodologies.
- Excellent understanding of clinical trial design and regulatory requirements.
- Proficiency in other statistical software such as SAS is highly desirable.
- Exceptional analytical and problem-solving skills.
- Ability to communicate complex statistical concepts to non-statistical audiences.
- Experience in leading statistical analyses for multiple clinical projects simultaneously.
- Strong attention to detail and commitment to data integrity.
- Demonstrated ability to work collaboratively within a team environment.
- Experience mentoring or training junior staff members.
- Published research or contributions to scientific literature is a plus.
- Excellent organizational and time management skills.
- Strong interpersonal skills and ability to work in a diverse environment.
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