Senior Manager Biostatistics

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.
• Create 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.

Qualifications

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

Pay Transparency

The typical base pay for this role across the U.S. is: $56.00 - $58.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.