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Intern Manager Statistical Programming Jobs in Ohio

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Intern Manager Statistical Programming information

What is the difference between Intern Manager Statistical Programming vs Data Analyst?

AspectIntern Manager Statistical ProgrammingData Analyst
Required CredentialsTypically pursuing or holding a degree in statistics, biostatistics, or related fieldOften holds a degree in statistics, data science, or related discipline
Work EnvironmentPharmaceutical or biotech industry, working on clinical trial dataVarious industries including healthcare, finance, marketing, analyzing data sets
Employer & Industry UsageUsed in clinical research companies, pharma firms, biotech organizationsWidely used across multiple sectors including healthcare, finance, tech

The Intern Manager Statistical Programming role focuses on supervising and managing statistical programming tasks within clinical research, often involving team coordination and project oversight. In contrast, Data Analysts primarily analyze data sets to generate insights across various industries. While both roles require strong statistical skills and familiarity with programming tools, the managerial aspect and industry focus distinguish the Intern Manager Statistical Programming position from a Data Analyst.

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For Intern Manager Statistical Programming jobs in Ohio, the most frequently searched job titles are:

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What cities in Ohio are hiring for Intern Manager Statistical Programming jobs?

Cities in Ohio with the most Intern Manager Statistical Programming job openings:

Infographic showing various Intern Manager Statistical Programming job openings in Ohio as of June 2026, with employment types broken down into 7% Internship, 68% Full Time, and 25% Part Time. Highlights an 93% In-person, and 7% Remote job distribution.

Principal Statistical Programmer

Neshent Technologies

Mount Healthy, OH • On-site

Full-time

Posted 15 days ago


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.