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Senior Manager Statistical Programming Jobs in Mason, OH

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Senior Manager Statistical Programming information

See Mason, OH salary details

$22.6K

$93.1K

$157K

How much do senior manager statistical programming jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior manager statistical programming in Mason, OH is $93,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $100,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Manager Statistical Programming vs Statistical Programmer?

AspectSenior Manager Statistical ProgrammingStatistical Programmer
CredentialsBachelor's/Master's in Biostatistics, Computer Science, or related field; often with management experienceBachelor's or Master's in Biostatistics, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsPerforms data analysis, programming, and validation tasks under supervision
Employer & Industry UsagePharmaceutical, biotech companies, CROs, clinical researchPharmaceutical, biotech, clinical research organizations

The main difference is that Senior Manager Statistical Programming oversees teams and manages projects, while Statistical Programmers focus on executing data analysis and programming tasks. The senior role involves leadership responsibilities, whereas the programmer role is more technical and task-oriented.

What are the key skills and qualifications needed to thrive as a senior manager statistical programming, and why are they important?

To thrive as a Senior Manager Statistical Programming, you need expertise in biostatistics, programming languages like SAS or R, and experience with clinical trial data, typically supported by an advanced degree in a quantitative field. Familiarity with regulatory requirements (e.g., CDISC standards), clinical data management systems, and project management tools is essential. Strong leadership, communication, and problem-solving skills help you lead teams and liaise with cross-functional stakeholders. These skills ensure accurate, compliant data analyses and effective team management for successful clinical trial outcomes.

How does a senior manager statistical programming typically collaborate with cross-functional teams in clinical research projects?

A Senior Manager Statistical Programming plays a pivotal role in coordinating with biostatisticians, clinical data managers, and medical writers to ensure seamless data flow and analysis throughout clinical trials. They oversee programming teams to deliver statistical outputs, such as tables, listings, and figures, while maintaining compliance with regulatory standards. Regular meetings and clear communication are essential, as the Senior Manager must interpret project requirements and translate them into actionable programming tasks, ensuring timelines and quality standards are met. This collaborative environment fosters continuous learning and problem-solving, as cross-functional input is vital for addressing complex data challenges.
What are popular job titles related to Senior Manager Statistical Programming jobs in Mason, OH? For Senior Manager Statistical Programming jobs in Mason, OH, the most frequently searched job titles are:
What cities near Mason, OH are hiring for Senior Manager Statistical Programming jobs? Cities near Mason, OH with the most Senior Manager Statistical Programming job openings:
Senior Manager Statistical Programming jobs near you

Principal Statistical Programmer

Neshent Technologies

Cincinnati, OH • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an experienced Principal Statistical Programmer to lead statistical programming activities for clinical development programs. The ideal candidate will have strong expertise in SAS programming, CDISC standards, ADaM datasets, TLF development, regulatory submissions, and clinical trial data analysis. This role will provide technical leadership, mentor statistical programmers, and collaborate with cross-functional clinical teams.

Required Skills & Experience
  • Experience leading a team of statistical programmers supporting clinical development programs.
  • Strong proficiency in SAS programming for developing and validating:
    • ADaM datasets
    • Tables, Listings, and Figures (TLFs)
    • Statistical analyses
  • Good knowledge of R programming and other statistical programming languages preferred.
  • Strong understanding of SAS programming concepts and the clinical study lifecycle.
  • In-depth knowledge of CDISC standards (SDTM/ADaM) and regulatory requirements.
  • Experience supporting regulatory filings and submission documentation.
  • Experience working in therapeutic areas such as Oncology, Immunology, Neuroscience, or similar domains.
  • Strong communication and collaboration skills with cross-functional teams.
  • Ability to estimate project programming efforts and manage competing priorities.
Roles and Responsibilities
  • Lead statistical programming activities for assigned compounds, indications, or therapeutic areas.
  • Manage and mentor statistical programmers, analysts, and senior analysts.
  • Plan resources, track deliverables, and ensure timely completion of programming activities.
  • Develop and oversee SAS programs for ADaM dataset creation following CDISC standards.
  • Develop and review SAS programs for Tables, Listings, and Figures (TLFs).
  • Ensure consistency and quality of ADaM datasets across individual studies and integrated analyses.
  • Support regulatory submissions by preparing documentation such as reviewer guides and data definition documents.
  • Develop standard SAS macros, programming standards, and operating procedures.
  • Ensure compliance with quality processes and clinical programming best practices.
  • Collaborate with Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing, and Clinical Operations teams.
Preferred Qualifications
  • Experience in pharmaceutical, biotechnology, or clinical research environments.
  • Strong knowledge of clinical trial programming and regulatory submission processes.
  • Excellent leadership, problem-solving, and organizational skills.
  • Ability to work effectively in a dynamic, deadline-driven environment.

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