Biostatistics Sr. manager
Aequor JD ·www.aequor.com
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Fully remote
Job Description
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.
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 Qualifications
Education
Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative field.
Experience and 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.
Job Description
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.
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 Qualifications
Education
Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative field.
Experience and 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.
Frequently asked questions
Who is hiring for the Biostatistics Sr. manager role?
Aequor JD is hiring for the Biostatistics Sr. manager position, a Shazamme client. Apply directly on the employer's career site.
Where is the Biostatistics Sr. manager job located?
The Biostatistics Sr. manager role with Aequor JD is based in Thousand Oaks, CA, US. The role is remote-friendly.
Is the Biostatistics Sr. manager role remote?
Yes — the Biostatistics Sr. manager position at Aequor JD is remote. Candidates based in US are preferred.
Is the Biostatistics Sr. manager role full-time or contract?
This is a full time position at Aequor JD.
What experience level is the Biostatistics Sr. manager role?
The Biostatistics Sr. manager position is aimed at senior-level candidates.
How do I apply for the Biostatistics Sr. manager role at Aequor JD?
Apply directly on Aequor JD's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.