Lead impactful statistical projects in clinical research and regulatory submissions. Collaborate with multidisciplinary teams in a dynamic, remote work environment. Enhance your expertise in advanced statistical methodologies.
Principal Statistician
in Healthcare + Life Sciences ContractJob Detail
Job Description
Principal Statistician Overview
- The Principal Statistician role involves statistical analysis and clinical research for medical device development.
- Collaborate with clinical, regulatory, and data management teams to ensure project success.
- Work remotely with a team of approximately ten professionals, led by a skilled hiring manager.
- Design and execute biostatistical components of research and development projects.
- Provide statistical expertise for clinical trials and regulatory submissions.
- Develop and apply statistical theories, methods, and software for data analysis.
- Summarize and interpret data into formats suitable for statistical inference.
- Mentor and train statisticians in their roles and responsibilities.
Principal Statistician Key Responsibilities & Duties
- Design and execute statistical components for clinical research projects.
- Prepare statistical protocols meeting health authority guidelines and clinical trial standards.
- Conduct statistical analyses using software such as SAS and R.
- Summarize data into tabular and graphical formats for reports and publications.
- Collaborate with clinicians and programmers to ensure accurate data analysis.
- Support regulatory review and approval processes for experimental therapies.
- Develop policies and procedures for statistical practices within the department.
- Respond to regulatory inquiries and participate in FDA meetings.
Principal Statistician Job Requirements
- Master’s degree in Biostatistics, Statistics, or equivalent required; PhD preferred.
- Minimum of 5 years of statistical experience; 7 years preferred.
- Proficiency in statistical programming packages such as SAS and R.
- Experience with clinical study data analysis and trial design.
- Knowledge of Good Clinical Practice (GCP) and regulatory compliance guidelines.
- Strong applied statistical skills, including regression modeling and survival analysis.
- Ability to communicate complex statistical results to diverse audiences.
- Experience in FDA regulatory submissions and panel presentations.
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