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Statistical Programmer Jobs in Ohio (NOW HIRING)

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required * Master's or PhD degree preferred * Equivalent years of relevant work ...

CareSource

Applied AI Scientist III

Dayton, OH

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required * Master's or PhD degree preferred * Equivalent years of relevant work ...

Qnity

Senior Electrical Engineer

Cleveland, OH

$104.30K - $135.80K/yr

Statistical Engineering - Six Sigma analysis * Intimate knowledge in applying electrical Codes, Standards, & Regulations (NEC, NFPA, UL, FM, NETA, etc.) * Fault Analysis skills * Advanced working ...

Qnity

Senior Electrical Engineer

Dayton, OH

$104.50K - $136.10K/yr

Statistical Engineering - Six Sigma analysis * Intimate knowledge in applying electrical Codes, Standards, & Regulations (NEC, NFPA, UL, FM, NETA, etc.) * Fault Analysis skills * Advanced working ...

Gosiger

Manufacturing Quality Engineer

Dayton, OH · On-site

$85K - $100K/yr

... Engineered Systems Division. Evaluates GD&T requirements, tolerance stack-up, and statistical ... Lead statistical capability studies, calculating Cp/Cpk and Pp/Ppk (as required) to validate ...

Qnity

Senior Electrical Engineer

Circleville, OH

$100.30K - $130.60K/yr

Statistical Engineering - Six Sigma analysis * Intimate knowledge in applying electrical Codes, Standards, & Regulations (NEC, NFPA, UL, FM, NETA, etc.) * Fault Analysis skills * Advanced working ...

CareSource

Sr. Manager AI and Data Science

Dayton, OH · On-site +1

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required * Master's degree or PhD preferred * Equivalent years of relevant work ...

dunnhumby

Senior Applied Data Scientist

Cincinnati, OH · On-site +1

Bachelor's degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field. * In addition to the degree, must have at least 4 years of ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Ohio

Statistical Programmer information

See Ohio salary details

$80.3K

$140K

$236.7K

How much do statistical programmer jobs pay per year?

As of May 31, 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 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 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 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.

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.

Is SAS a good career choice?

A career as a Statistical Programmer using SAS is in demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and reporting are essential. Proficiency in SAS, along with knowledge of programming and statistical methods, can lead to stable employment and opportunities for advancement.

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.

More about Statistical Programmer jobs
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 are popular job titles related to Statistical Programmer jobs in Ohio? For Statistical Programmer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Ohio look for? The top searched job categories for 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:
What are popular job titles related to Statistical Programmer jobs in OH? For Statistical Programmer jobs in OH, the most frequently searched job titles are:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $140,030 per year, or $67.3 per hour.
Applied AI Scientist III

Applied AI Scientist III

CareSource

Dayton, OH • On-site, Remote

Full-time

Posted 3 days ago

CareSource rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

174th of 259 rated insurance

Job description

Job Summary:
The Applied AI Scientist III is responsible for the development and application of cutting-edge advanced analytics solutions using emerging Artificial Intelligence (AI) technologies such as Agentic AI, Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Natural Language Processing (NLP) and Generative AI solutions to enhance healthcare operations, patient care, and overall health plan performance and efficiency. This position requires a highly skilled AI expert capable of delivering complex data science projects independently while guiding other data scientists through technical expertise and code reviews.
Essential Functions:
  • Evaluate emerging technology in LLMs, NLP, Generative AI, and healthcare informatics, integrating these advancements into the projects to drive continuous innovation.
  • Utilize NLP algorithms and other deep learning techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful insights.
  • Lead development from prototype through production in partnership with engineering/architecture.
  • Co-own operational readiness (evaluation, monitoring requirements, documentation, safeguards) and support post-release tuning of Generative AI solutions (such as prompt engineering and RAG).
  • Lead initiatives specializing in NLP and predictive analytics, ensuring the successful delivery of projects that align with organizational goals.
  • Work closely with interdisciplinary teams across IT, risk adjustment, program integrity, HEDIS, healthcare operations, finance, and clinical departments to identify and capitalize on opportunities for data-driven innovative solutions using cutting-edge emerging technologies.
  • Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets.
  • Define and execute evaluation strategies for ML and LLM solutions, including quality metrics, bias and safety checks, and performance monitoring after deployment.
  • Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care.
  • Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data analysis, to derive meaningful insights and actionable recommendations.
  • Collaborate with stakeholders to define key performance indicators (KPIs), develop metrics, and create dashboards and reports that effectively communicate insights and support decision-making.
  • Provide strategic guidance and recommendations to senior leadership based on data analysis and predictive modeling results.
  • Ensure compliance with data privacy and security regulations, including HIPAA and PHI handling as applicable and maintain the highest standards of data integrity, model governance, and documentation.
  • Lead cross-functional projects with occasional light project management across teams to deliver results.
  • Represent the department in project meetings and other meetings that require subject matter knowledge and input.
  • Perform any other job related duties as requested.

Education and Experience:
  • Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required
  • Master's or PhD degree preferred
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required
  • Five (5) years of experience in the healthcare industry required
  • One (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflake) required
  • One (1) year of experience in development and deployment of an NLP and Generative AI solution in the healthcare industry required

Competencies, Knowledge and Skills:
  • Familiarity with Agentic AI, LLM architecture, prompt engineering, RAG, and evaluation metrics
  • Familiarity with MLOps and LLMOps practices such as CI/CD, model registry, experiment tracking, automated evaluation, monitoring, and reproducible pipelines
  • Understanding of model risk management, AI governance, and responsible AI
  • Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R
  • Expert in data manipulation, data visualization, and SQL for data extraction and analysis
  • Ability to perform advanced statistical analysis and modeling such as linear and non-linear regression, sampling, and Markov chains
  • Expertise in emerging technologies and tools such as large language models, natural language understanding, sentiment analysis, named entity recognition, topic modeling, and text classification
  • Expertise in Optical Character Recognition (OCR) technologies, including data extraction from scanned documents, forms, and invoices, and proficiency in OCR tools and libraries
  • Familiarity with web app and API development and deployment in production environment
  • Detailed knowledge of healthcare data, including medical and pharmacy claims, EMR data, HIE data, UM data, and demographic and population data
  • Knowledge of healthcare operations, payer and provider models, and industry trends
  • Proficient in feature engineering techniques and exploratory data analysis
  • Knowledge of optimization techniques and artificial intelligence methods
  • Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights
  • Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously in a fast-paced environment
  • Excellent written and verbal communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
  • Comfortable reading academic research papers and applying them in the models

Licensure and Certification:
  • None

Working Conditions:
  • General office environment; may be required to sit or stand for extended periods of time
  • Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required

Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.
Compensation Type (hourly/salary):
Salary
Organization Level Competencies
  • Fostering a Collaborative Workplace Culture
  • Cultivate Partnerships
  • Develop Self and Others
  • Drive Execution
  • Influence Others
  • Pursue Personal Excellence
  • Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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