Location: Remote - Thousand Oaks, CA

Employment Type: Contingent Worker (Contract, W2)

Contract Length: 12 months (possible extension)

Compensation: $55/$64 per hour (based on experience)

Summary of the Role

Join a big biopharma leader as a Biostatistics Sr Mgr to drive advanced clinical data analytics and AI initiatives. Collaborate with cross-functional teams to develop analytical tools, automate workflows, and generate actionable insights from complex datasets in support of clinical research and development. This role is fully remote and offers exposure to cutting-edge analytical approaches in a fast-moving industry.

Key Responsibilities

• Develop, maintain, and enhance analytical tools, applications, dashboards, and reporting solutions using R, R Shiny, and/or Python
• Design and implement data analysis workflows, automated reporting pipelines, and AI-enabled solutions to support clinical analytics and decision-making
• Build interactive visualizations and dashboards for data exploration, monitoring, and communication of insights
• Perform data quality assessments, validation, monitoring, and reconciliation activities to ensure data integrity and reliability
• Apply statistical methods, machine learning, and AI techniques to analyze complex datasets and address scientific and business challenges
• Collaborate with statisticians, data scientists, statistical programmers, software developers, and business stakeholders to deliver innovative analytical solutions
• Identify and implement process improvements, automation opportunities, and emerging technologies to enhance efficiency, scalability, and reproducibility
• Ensure compliance with applicable regulatory requirements, industry standards, and internal quality processes
• Document analytical methods, tools, workflows, and best practices according to organizational standards
• Stay current with emerging analytical methodologies, AI technologies, and industry best practices

Required Experience & Skills

• 6+ years of relevant industry experience with a Master's degree, 4+ years with a PhD, or 10+ years with a Bachelor's degree
• Proven experience applying statistical methods to clinical development, clinical research, healthcare, or related data
• Strong programming skills in R and/or Python, including experience developing analytical tools and applications
• Experience with R Shiny and/or other interactive reporting and visualization platforms
• Knowledge of statistical modeling, exploratory data analysis, and data quality methodologies
• Experience designing automated data analysis workflows and reporting solutions
• Experience applying machine learning and AI techniques to real-world analytical problems
• Proficiency in data manipulation, data wrangling, and workflow automation
• Familiarity with version control systems (e.g., Git) and software development best practices
• Strong analytical, problem-solving, communication, and collaboration skills

Preferred Qualifications

• PhD in Statistics, Biostatistics, Computer Science, Mathematics, or a related quantitative field
• Experience in the pharmaceutical, biotechnology, healthcare, or clinical research industry
• Knowledge of clinical trial data standards and regulatory requirements, including CDISC SDTM and ADaM
• Experience building scalable analytics platforms, AI-enabled tools, automated reporting systems, or decision-support solutions
• Understanding of drug development processes and the clinical development lifecycle

Top 3 Must Have Skills

1. Programming skills (R/R Shiny)

2. Clinical statistical knowledge

3. Experience with AI tools (specifically integrating AI assistance into R Shiny applications)

Day-to-Day Responsibilities

• Develop and maintain analytical tools, dashboards, and reporting solutions with R, R Shiny, and Python
• Build and implement automated data analysis workflows and AI-enabled clinical analytics solutions
• Perform data quality assessments and apply advanced analytics to clinical development datasets
• Collaborate with various technical and business stakeholders to deliver innovative solutions
• Document procedures and stay updated on analytical methodologies and AI trends

Basic Qualifications

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

This posting is for Contingent Worker, not an FTE