Biostatistics Senior Manager (Clinical Analytics & AI)

Location: Remote (U.S.)
Job Type: Contract (12+ months)

About the Role

Our client is seeking a highly motivated Biostatistics Senior Manager to support advanced clinical data analytics initiatives. This is a hands-on, technical role focused on developing analytical tools, automating workflows, and generating impactful insights using statistical, machine learning, and AI-driven approaches.

You will collaborate closely with cross-functional teams to build scalable analytics solutions, enhance data quality processes, and deliver interactive dashboards to support clinical decision-making.

Key Responsibilities

• Develop, maintain, and enhance analytical tools, dashboards, and applications using R, R Shiny, and/or Python
• Design and implement automated data analysis workflows and reporting pipelines
• Build interactive visualizations and dashboards for clinical data exploration and monitoring
• Perform data quality assessments, validation, reconciliation, and monitoring to ensure data integrity
• Apply statistical methods, machine learning, and AI techniques to complex clinical datasets
• Collaborate with biostatisticians, data scientists, programmers, and stakeholders to deliver high-impact solutions
• Identify opportunities for process improvement, automation, and scalability
• Ensure compliance with regulatory requirements, industry standards, and internal processes
• Document analytical methods, tools, and workflows
• Stay current with emerging technologies, AI tools, and analytics best practices

Required Qualifications

Education

• Master’s degree in Statistics, Biostatistics, Data Science, Computer Science, Mathematics, or a related field

Experience & Skills

• 6+ years (Master’s) / 4+ years (PhD) / 10+ years (Bachelor’s) of relevant experience
• Strong expertise in clinical data analysis and statistical methodologies
• Advanced programming skills in R and/or Python
• Experience building tools with R Shiny or similar visualization platforms
• Hands-on experience with:
• Data wrangling and transformation
• Workflow automation
• Exploratory data analysis
• Experience applying machine learning and AI techniques in real-world scenarios
• Familiarity with Git/version control and software development best practices
• Strong analytical, communication, and collaboration skills

Preferred Qualifications

• PhD in a related quantitative field
• Experience in pharmaceutical, biotech, or clinical research environments
• Knowledge of clinical trial data standards (CDISC SDTM, ADaM)
• Experience developing scalable analytics platforms or AI-enabled tools
• Understanding of the drug development lifecycle

Top Skills for Success

• R / R Shiny development
• Clinical biostatistics expertise
• AI/ML integration into analytics tools

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