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Statistical Programmer Jobs in Ohio (NOW HIRING)

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

The programmer is responsible for providing reports in the format requested and ensuring the ... Fundamental understand of statistics & other AIAG Core Tools (PPAP, SPC, MSA, FMEA, APQP)

The programmer is responsible for providing reports in the format requested and ensuring the ... Fundamental understand of statistics & other AIAG Core Tools (PPAP, SPC, MSA, FMEA, APQP)

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

While grounded in statistical programming (R) and rigorous research methodologies, the analyst will also leverage modern data tools (SQL, AWS) and applied AI to scale their workflows and improve data ...

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Statistical Programmer information

See Ohio salary details

$80.3K

$140K

$236.7K

How much do statistical programmer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for statistical programmer in Ohio is $140,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $152,100.00 per year, depending on experience, location, and employer.

What are statistical programmers?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

What Does a Statistical Programmer Do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by Statistical Programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

How hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

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

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are the most commonly searched types of Statistical Programmer jobs in Ohio? The most popular types of Statistical Programmer jobs in Ohio are:
What cities in Ohio are hiring for Statistical Programmer jobs? Cities in Ohio with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Ohio as of July 2026, with employment types broken down into 81% Full Time, 12% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $140,030 per year, or $67.3 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

AI Engineer

About your role:

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat analysts, and infrastructure teams to transform large-scale security telemetry into actionable insights that protect client data and critical systems. You will help us continuously strengthen our security posture and inform risk-based decisions across the organization.

What you'll do:

  • Design, build, and deploy machine learning and statistical models for threat detection, anomaly detection, fraud identification, and risk scoring using security event and telemetry data.
  • Engineer robust security data pipelines, including data ingestion, cleansing, feature engineering, and model monitoring, using structured and unstructured cyber data sources (e.g., logs, alerts, network flows, endpoint data).
  • Analyze outputs from security tools and platforms to identify control gaps, policy deviations, and emerging threat patterns, and translate findings into prioritized remediation recommendations.
  • Partner with cybersecurity engineering, Security Operations Center (SOC), and infrastructure teams to embed AI and advanced analytics into security controls, playbooks, and incident response workflows.
  • Conduct model performance evaluations, bias and drift analysis, and continuous tuning to improve detection efficacy while minimizing false positives.
  • Develop clear, consumable visualizations and storytelling artifacts that communicate complex analytic findings and risk scenarios to technical and non-technical stakeholders.
  • Create and maintain documentation for data sources, model architectures, assumptions, validation approaches, and deployment processes in line with internal governance standards.

Experience you'll need to have:

  • 6+ years of experience in data science or machine learning using programming languages such as Python or R to build and deploy models in production environments, preferably in cybersecurity, fraud, or risk domains.
  • 4+ years of experience working with security-relevant datasets and tools (for example, Security Information and Event Management platforms, endpoint protection, identity and access data, or network telemetry) in an enterprise environment.
  • 4+ years of experience with SQL and one or more big data or cloud analytics platforms (for example, Hadoop, Spark, Databricks, or cloud-native services) to process large-scale security or operational datasets.
  • 4+ years of experience applying machine learning methods (such as classification, clustering, anomaly detection, or time series) and model evaluation techniques to real-world problems.
  • Demonstrated experience translating ambiguous business and security problems into analytic questions, framing hypotheses, and delivering measurable outcomes based on data-driven insights.
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field or equivalent combination of education, related experience and/or military experience.

Experience that would be great to have:

  • Experience applying AI or advanced analytics to cybersecurity use cases such as insider threat, identity and access risk, data loss prevention, or cloud security posture management.
  • Experience in the financial services or payments industry working with sensitive data and stringent regulatory or compliance requirements.
  • Experience with MLOps practices and tooling (for example, CI/CD for models, model registries, feature stores, or automated monitoring) in a regulated environment.
  • Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a recognized data science or cloud certification, or equivalent combination of training and demonstrable experience.

How you'll work:

  • This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

Sponsorship:

You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Benefits at Fiserv:

  • Fuel Your Life program to support your physical, financial, social, and emotional well-being.
  • Paid holidays and generous time away policies.
  • No-cost mental health support through Employee Assistance Programs.
  • Living Proof program to recognize your peers' extra effort with points redeemable for rewards.
  • Eight Employee Resource Groups to foster a collaborative culture and expand your network.
  • Unparalleled professional growth with training, development, and internal mobility opportunities.
  • Medical, dental, vision, life, and disability insurance options available from day one.
  • Retirement planning and discounted shares with the Employee Stock Purchase Plan.
  • Tuition assistance and reimbursement program.
  • Paid parental, caregiver, and military leave.

#LI-MJ1

Salary Range

$109,000.00 - $182,400.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.

Thank you for considering employment with Fiserv. Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contactAskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements.Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.