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Biostatistician
Cook GroupBiostatistician supporting statistical design, analysis, and reporting for Cook Research’s global clinical studies. Applying SAS or R, data visualization, and responsible AI practices to clinical evidence development.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficiency in statistical programming using SAS or R, along with a strong understanding of statistical methods and experimental design, is essential for effectively supporting clinical research studies. The ability to communicate complex statistical concepts to non-statistical audiences and collaborate with cross-functional teams is also critical.
Highest-signal resume keywords
Statistical Programming Using SASStatistical Programming Using RStatistical Methods ApplicationData Visualization TechniquesMaster's Degree in Statistics or Biostatistics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsExperimental DesignData AnalysisData TransformationData SummarizationStatistical ReportingAI Concepts UnderstandingCritical Evaluation of AI OutputsAttention to DetailMicrosoft Office Proficiency
Soft Skills
Critical ThinkingProblem-SolvingCollaborationOrganizational SkillsReceptiveness to Feedback
Industry Keywords
Clinical ResearchClinical Study ProtocolsRegulatory RequirementsStatistical EthicsReal-World Data Strategies
About the role
Key responsibilities & impact- Support the application of statistical methods to the design, analysis, and reporting of global clinical research studies
- Apply statistical principles and methodology across the design, execution, analysis, interpretation, and documentation of clinical studies
- Contribute to statistical sections of clinical study protocols, reports, and other study documentation
- Provide statistical support for bench and animal studies, including data analysis and interpretation as applicable
- Manage assigned workload to meet project timelines and deliverables
- Communicate project status, progress, and risks to team leadership
- Support statistical activities across the clinical study lifecycle with cross-functional team members
- Collaborate with clinical, regulatory, and scientific teams to maintain statistical representation throughout assigned studies
- Develop understanding of clinical areas, medical procedures, physiology, disease processes, and imaging techniques
- Develop and maintain proficiency in statistical programming
- Develop and apply data visualization techniques and foundational real-world data strategies
- Interpret and communicate statistical methods and results to non-statistical audiences
- Participate in peer review, team activities, and continuous improvement of statistical practices
- Follow company policies, procedures, training requirements, and regulatory requirements
Requirements
What you’ll need- Master's degree in Statistics, Biostatistics, or a similar technical degree
- Proficiency in statistical programming using SAS or R
- Understanding and application of statistical methods, including experimental design
- Ability to transform, analyze, summarize, and present data using appropriate tools and techniques
- Proficiency in Microsoft Office tools for analysis, documentation, and reporting
- Foundational understanding of artificial intelligence and data concepts
- Ability to critically evaluate AI-generated outputs and leverage approved AI tools
- Awareness of bias, limitations, and risks in data and AI-driven analyses
- Strong critical thinking, problem-solving, logical reasoning, and attention to detail
- Ability and willingness to work collaboratively in a team-based environment
- Receptiveness to direction and feedback
- Strong organizational skills and ability to manage multiple tasks, priorities, and projects
- Ability to meet deadlines in a structured environment
- Demonstrated professionalism, reliability, strong work ethic, personal integrity, and adherence to statistical and scientific ethical standards
- Commitment to accuracy, transparency, and responsible use of data
- Must be legally authorized to work in the United States; employment visa sponsorship is not intended
Benefits
Comp & perks- Ongoing professional development
- Equal employment opportunity protections
- Consideration of applicants with criminal histories consistent with applicable law