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Statistics Jobs in Ohio (NOW HIRING)

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$38.5K

$79.5K

$111.2K

How much do statistics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for statistics in Ohio is $79,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $110,300.00 per year, depending on experience, location, and employer.

What are statistics jobs?

Statistics jobs involve collecting, analyzing, interpreting, and presenting quantitative data to help organizations make informed decisions. Professionals in this field use mathematical techniques and statistical software to identify trends, solve problems, and provide insights across various industries, such as healthcare, finance, government, and technology. Common statistics roles include statistician, data analyst, biostatistician, and research analyst. These positions often require strong analytical skills and a solid background in mathematics or statistics.

What are the qualifications to get a job in statistics?

The qualifications to get a job in statistics include a bachelor’s or master’s degree. Depending on your field of interest, relevant areas of study may include statistics, math, accounting, political science, information sciences, biostatistics, computer science, and economics. Common duties of a statistician in any field are to collect data through surveys or other methods, analyze data, make any relevant observation, and present reports. Strong computer literacy skills, knowledge of programming languages such as R and Python, and familiarity with statistical analysis software are essential in this career.

What are the key skills and qualifications needed to thrive as a statistician, and why are they important?

To thrive as a Statistician, you need a strong background in mathematics, statistical theory, and data analysis, typically supported by a degree in statistics or a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS, along with familiarity with data visualization tools, is commonly required. Analytical thinking, attention to detail, and the ability to communicate complex findings clearly are crucial soft skills. These abilities ensure accurate data interpretation and effective communication of insights to support informed decision-making.

What are some common challenges statisticians face when communicating complex data findings to non-technical stakeholders?

Statisticians often encounter the challenge of translating intricate data analyses and statistical concepts into clear, actionable insights for audiences without technical backgrounds. It requires strong communication skills to avoid jargon and to present results in a visually engaging, accessible manner. Collaborating with colleagues in marketing, product, or management roles helps ensure that the findings inform decision-making effectively. Practicing storytelling with data and using relatable examples can greatly improve understanding and impact.

What kind of jobs can you get with statistics?

A degree or background in statistics can lead to roles such as data analyst, statistician, data scientist, quality analyst, or research analyst. These jobs typically require skills in data analysis, statistical software, and critical thinking, and are common in industries like healthcare, finance, marketing, and government agencies.
More about Statistics jobs

What are the most commonly searched types of Statistics jobs in Ohio?

The most popular types of Statistics jobs in Ohio are:

What are popular job titles related to Statistics jobs in Ohio?

For Statistics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Statistics jobs in Ohio look for?

The top searched job categories for Statistics jobs in Ohio are:

What cities in Ohio are hiring for Statistics jobs?

Cities in Ohio with the most Statistics job openings:

Statistics jobs near you
Infographic showing various Statistics job openings in Ohio as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $79,532 per year, or $38.2 per hour.

Principal Statistical Programmer

Neshent Technologies

Cincinnati, OH • On-site

Full-time

This job post has expired today. 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.

Apply