Biostatistics Sr. manager

Advanced Bio-Logic Solutions Corp•Thousand Oaks, CA

1d•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

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
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