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Senior Statistical Programmer Jobs in Oregon (NOW HIRING)

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Applied statistics and model evaluation skills, including experiment design and statistical ...

Pwc

CTIO - AI Engineer- Senior Manager

Portland, OR

$91K - $321K/yr

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Performing yield analysis, root-cause analysis, process engineering analytics, and Statistical ...

Instacart

Senior Data Scientist

OR · On-site +1

Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level. * MS/PhD in Statistics, Economics, Applied Mathematics, or a related ...

ASM

Senior Engineer I, Field Process

Hillsboro, OR

As a Senior Engineer, Field Process, you will help expand ASM's advanced film technologies at our ... Experience designing, running, and interpreting DOEs or statistical experiments in academic ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... framework Statistical analysis with Python, R or similar Additional Information All your ...

Webflow

Senior Staff Software Engineer

OR · On-site +1

$122K - $161K/yr

... statistical and AI/ML capabilities into reliable, real-time backend infrastructure. * Lead complex ... Mentor and grow staff and senior engineers, multiplying your impact through the people you develop ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... This role involves close collaboration with cross-functional teams (especially ML Engineering) to ...

Bridge Tech

Sr.Hadoop Developer

Beaverton, OR · On-site

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... framework • Statistical analysis with Python, R or similar Additional Information All your ...

Upgrade

Senior Collections Strategy Analyst

OR · On-site +1

$100K - $120K/yr

As a Senior Collections Strategy Analyst , you will own the analytics and strategy that drive ... BA/BS degree in a quantitative field (Mathematics, Statistics, Engineering, Economics, or related ...

Koch Industries

Senior Process Engineer

Toledo, OR · On-site

$110K - $143K/yr

Your Job The Senior Process Engineer provides technical leadership for safe, reliable, and cost ... solving, statistical analysis, and process control tools to reduce variability and stabilize ...

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Senior Statistical Programmer information

See Oregon salary details

$87.2K

$135.6K

$177.1K

How much do senior statistical programmer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior statistical programmer in Oregon is $135,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a senior statistical programmer?

A Senior Statistical Programmer is responsible for developing, testing, and validating statistical programs used for clinical trial data analysis. They work primarily with statistical software like SAS to generate tables, listings, and figures (TLFs) for regulatory submissions and research studies. This role requires strong programming skills, knowledge of statistical methodologies, and an understanding of clinical trial processes. Senior Statistical Programmers also collaborate with statisticians, data managers, and regulatory teams to ensure data integrity and compliance with industry standards.

What are the typical responsibilities and team dynamics for a senior statistical programmer?

As a Senior Statistical Programmer, you will typically be responsible for designing, developing, and validating statistical programs for clinical trial data analysis and reporting. You’ll work closely with biostatisticians, data managers, and clinical project teams to ensure data quality and regulatory compliance, often contributing to the creation of submission datasets and study reports. The role usually involves both independent work and active collaboration, with seasoned programmers frequently mentoring junior staff and participating in process improvement initiatives. This team-oriented structure offers exposure to a variety of projects and stakeholders, making it a dynamic environment ideal for those who enjoy both analytical tasks and cross-functional teamwork.

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

To thrive as a Senior Statistical Programmer, a strong background in statistical analysis, programming (often in SAS and R), and a relevant degree such as in statistics, mathematics, or computer science is essential. Experience with regulatory submission standards (like CDISC SDTM/ADaM), clinical trial software, and certifications such as SAS Certified Advanced Programmer are highly valued. Outstanding attention to detail, problem-solving abilities, and effective communication skills help individuals excel in this collaborative and deadline-driven role. These skills are crucial for ensuring accurate data analysis, regulatory compliance, and successful teamwork in high-stakes research environments.

What are the most commonly searched types of Statistical Programmer jobs in Oregon?

The most popular types of Statistical Programmer jobs in Oregon are:

What are popular job titles related to Senior Statistical Programmer jobs in Oregon?

For Senior Statistical Programmer jobs in Oregon, the most frequently searched job titles are:

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The top searched job categories for Senior Statistical Programmer jobs in Oregon are:

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Senior Statistical Programmer jobs near you
Infographic showing various Senior Statistical Programmer job openings in Oregon as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $135,643 per year, or $65.2 per hour.

AI Engineer, Sr

A-dec, Inc.

Newberg, OR • On-site

$109K - $150K/yr

Full-time

Re-posted yesterday

A-dec rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

3rd of 52 rated furniture manufacturers

Job description

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.
Overview
The AI Engineer, Sr plays a key role in building and scaling applied artificial intelligence capabilities across the organization. This role focuses on delivering practical AI solutions that drive automation, improve decision making, and enable predictive insights across business functions such as supply chain, finance, operations, sales, and customer service.
The AI Engineer, Sr will design, build, and deploy AI powered systems including predictive models, forecasting solutions, and agentic AI workflows. This is a hands-on engineering role that partners closely with business and technology teams to turn real world problems into scalable AI solutions. The role emphasizes production ready systems, responsible AI use, and measurable business impact rather than academic research.
JOB DUTIES AND RESPONSIBILITIES:
  • Design, develop, validate and deploy AI driven solutions that support automation, predictive analytics, forecasting, and decision support across the business
  • Build and maintain machine learning models and AI services used in production environments
  • Design and orchestrate multi agent AI systems, including LLM based agents, agent routing and collaboration, and MCP enabled data and tool APIs for secure, scalable enterprise workflows
  • Build and optimize LLM capabilities using retrieval augmented generation, model fine tuning, and interface integration to deliver reliable, high quality AI outputs in production environments
  • Integrate AI capabilities with existing enterprise systems such as ERP, CRM, data platforms, and workflow tools
  • Implement data pipelines and feature engineering processes to support reliable model training and inference
  • Evaluate and integrate third party AI platforms, APIs, and tools where appropriate
  • Establish best practices for model deployment, monitoring, performance tuning, and lifecycle management
  • Support enterprise data governance by partnering with data owners to define data contracts and ensure data quality and consistency across pipelines
  • Ensure AI solutions meet security, privacy, and responsible AI standards
  • Collaborate with software engineers, data engineers, and IT teams to ensure scalable and maintainable implementations
  • Measure and communicate business impact of AI solutions using clear metrics and outcomes
  • Document system designs, models, and operational processes to support knowledge sharing and scalability
  • Manages, leads, and/or assists various new or sustaining technology projects; performs light project management duties as required.
  • Stay current with applied AI trends and recommend practical innovations that align with business goals

QUALIFICATIONS:
Knowledge, Skills, and Abilities
  • Programming languages:
    • Python for building AI models, automation, and production services
    • SQL for working with structured data used in analytics, forecasting, and model inputs
  • Technical Skills:
    • Strong understanding of data pipelines, feature engineering, and data quality fundamentals
    • Experience integrating AI solutions with existing enterprise systems using APIs
    • Familiarity with cloud-based AI services and deployment patterns
    • Applied model evaluation and testing expertise, including prompt testing, experimentation and A/B testing, system integration testing and production monitoring.
    • Experience optimizing costs for LLMs and agentic systems in cloud environments, including inference efficiency, token usage, and model selection tradeoffs
    • Understanding of software engineering best practices including version control, testing, and documentation
    • Knowledge of security, privacy, and responsible AI considerations in business environments
  • Preferred Programming Languages:
    • JavaScript or TypeScript for integrating AI capabilities into web applications or internal tools
    • Bash or shell scripting for automation and deployment tasks
  • Preferred Technical Skills:
    • Experience with agentic AI frameworks or orchestration tools such as LangChain, LlamaIndex, AutoGen, or MCP based patterns
    • Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage
    • Familiarity or experience with Dynamics 365, Snowflake and Microsoft Fabric
    • Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management
    • Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native orchestration services
    • Applied statistics and model evaluation skills, including experiment design and statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting.
    • Experience evaluating and integrating third party AI platforms or vendors
    • Exposure to automation platforms, RPA tools, or workflow engines where AI is embedded into business processes
    • Familiarity with emerging AI regulations and auditability techniques
    • Ability to mentor or guide others on applied AI best practices

Education and Experience
  • Bachelor's degree in computer science, engineering, data science, mathematics, or a related technical field, or equivalent practical experience
  • Successful candidates typically possess over 8 years of relevant professional or technical engineering experience of increasing responsibility and difficulty of assignments.
  • Experience building and deploying applied AI or machine learning solutions in production environments
  • Hands on experience with at least one machine learning framework such as scikit learn, PyTorch, or TensorFlow
  • Practical experience using large language models via APIs for real world business use cases
  • Experience designing and implementing AI driven automation or agentic workflows

Disclaimer
This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.
At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement.
A background check and screen for the illegal use of drugs is required.
A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor"
A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.

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