Manager Biostatistics

We are seeking a highly motivated Biostatistics Sr Mgr to support clinical data analytics initiatives. The successful candidate will collaborate with cross-functional teams to develop analytical tools, automate workflows, assess data quality, create interactive visualizations, and generate actionable insights from complex datasets using statistical, machine learning, and AI‑driven approaches.

• 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.

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

• Clinical statistical knowledge
• Experience AI tools (This role will be creating AI assistance into R‑shiny applications)

• 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.

• 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.

At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.