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Statistical Programmer Jobs in Rancho Cordova, CA

Careers at Teichert

Applied AI Engineer

Sacramento, CA · On-site

Judgment to know when a classifier, statistical model, or rule is a better fit than an agent. * Strong software engineering skills in Python, including version control, testing, and monitoring; able ...

Intel

TD Memory Quality and Reliability Engineer

Folsom, CA · On-site

$109K - $137K/yr

Experience developing silicon-based predictive models, statistical distributions, guardbands, and ... Programming experience in Python, JSL, SQL, or data analytics frameworks. Job Type Experienced Hire ...

Intel

TD Memory Quality and Reliability Engineer

Folsom, CA

$77K - $99K/yr

Experience developing silicon-based predictive models, statistical distributions, guardbands, and ... Programming experience in Python, JSL, SQL, or data analytics frameworks. Job Type:Experienced Hire ...

Teichert

Applied AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

Judgment to know when a classifier, statistical model, or rule is a better fit than an agent. * Strong software engineering skills in Python, including version control, testing, and monitoring; able ...

Pwc

CTIO - AI Engineer- Senior Manager

Sacramento, CA · On-site

$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 ...

Hyland

Senior Quality Engineer

Auburn, CA · On-site

$125K - $134K/yr

Senior Quality Engineer Location: Auburn, CA Work Arrangement: On-Site About the Role The Senior ... Lead continuous improvement initiatives using Lean, Six Sigma, statistical analysis, and other ...

New

Hyland

Senior Quality Engineer

Auburn, CA · On-site

$125K - $134K/yr

Lead continuous improvement initiatives using Lean, Six Sigma, statistical analysis, and other ... Bachelor's degree in Engineering, Quality, Manufacturing, Industrial Engineering, Life Sciences ...

Talanto

TD Memory Quality and Reliability Engineer

Folsom, CA · On-site

$77K - $99K/yr

Experience developing silicon‑based predictive models, statistical distributions, guardbands, and ... Programming experience in Python, JSL, SQL, or data analytics frameworks. Job Type Experienced Hire ...

Deloitte

Lead Generative AI Data Engineer III

Sacramento, CA · On-site

$109K - $144K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Socket.dev

Quality Engineer

Rancho Cordova, CA · On-site

$78K - $100K/yr

Quality Engineer Full-time | Permanent | Onsite Salaried | $90k - $115k *We are not accepting ... Minitab, JMP or other statistical software capabilities. #J-18808-Ljbffr

New

Vantedge

Quality Engineer

Rancho Cordova, CA · On-site

$88.20 - $95.60/hr

Job Type Full-time Description Quality Engineer Full-time Permanent Onsite Salaried $90k - $115k ... Minitab, JMP or other statistical software capabilities. Salary Description $88.2 - $95.6

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Showing results 21-40

All JobsStatistical Programmer JobsStatistical Programmer Jobs in Rancho Cordova, CA

Statistical Programmer information

See Rancho Cordova, CA salary details

$90.1K

$157.1K

$265.6K

How much do statistical programmer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for statistical programmer in Rancho Cordova, CA is $157,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,300.00 and $170,700.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

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 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 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.

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Rancho Cordova, CA as of August 2026, with employment types broken down into 82% Full Time, 8% Part Time, and 10% Contract. Highlights an 78% In-person, 2% Hybrid, and 20% Remote job distribution, with an average salary of $157,125 per year, or $75.5 per hour.

Applied AI Engineer

Sacramento, CA • On-site

Careers at Teichert
See more jobs at Careers at Teichertexternal

Contractor

Posted 26 days ago

Job description

This is a contract position. Extension may be considered based on business need and performance, but there is no guarantee of permanent employment.

Purpose
This position is responsible for designing, building, and deploying AI agents and applications that solve real business problems across Teichert's operations. The Applied AI Engineer evaluates large language models, agent design patterns, and traditional machine learning approaches, choosing the right tool for each problem and leads governance of AI agents and skills. This role sits within the Data & Technology Solutions department and contributes to the build-out of Teichert's AI capabilities and data platform. 
Focus & Scope
Essential duties and responsibilities, i.e. those which are basic, necessary, and an integral part of the job, are indicated below:
 
  1. Designs and builds AI agents and applications for construction and materials workflows, including document analysis of contracts, specs, and safety plans, schedule risk forecasting, equipment optimization, and bid intelligence, choosing agents, classifiers, statistical models, or simple rules based on what the problem requires. 
  2. Evaluates LLMs and foundation models against specific use cases, weighing accuracy, cost, latency, and vendor sustainability. 
  3. Architects reasoning chains, tool use, retrieval-augmented generation, and error handling; builds evaluation frameworks and monitors agent performance in production. 
  4. Leads governance of AI agents and skills, including risk review and lifecycle management, in partnership with DAAI leadership. 
  5. Partners with data engineering to build AI capabilities into Teichert's data platform. 
  6. Serves as a visible ambassador for AI across the organization. 
  7. Builds rapport quickly with business and technical stakeholders across Construction Services and Materials; translates business problems into AI designs and communicates tradeoffs and limitations clearly to non-technical audiences. 
  8. Transitions from single-agent prototypes to multi-agent orchestration as the platform matures; mentors more junior engineers on agent design and evaluation practices. 
 
Relationships, Qualifications and Requirements, & Competencies
Key Relationships 
Reports To:  
  • Senior Data, Analytics & AI Manager 
Direct Reports:  
  • None 
External Clients: 
  • Refineries and Trucking Companies 
 Internal Clients: 
  • Data, Analytics & AI team members, Data & Technology Solutions teams, business leaders and stakeholders, AI Community of Practice members 
 
Role Qualifications & Requirements 
Education:  
  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field 
  • Master's degree in related field preferred. 
Experience and Industry Expertise:  
  • Minimum 5 years of experience in software engineering, AI/ML engineering, or a similar role, with demonstrated experience building and deploying agentic AI and production applications on top of large language models or other models. 
  • Experience in asset-intensive industries such as construction, mining, energy, transportation, or manufacturing is preferred. 
 
Specific Job Requirements: 
  • Successful completion of pre-employment drug, alcohol, and background investigation. 
  • Ability to build trust and rapport quickly with employees at all levels, demystifying AI for non-technical audiences, and championing responsible adoption through day-to-day partnership. 
  • Deep knowledge of agent design patterns: reasoning chains, tool orchestration, retrieval-augmented generation, and error handling, independent of vendor. 
  • Ability to evaluate and compare LLMs and foundation models across use cases, making pragmatic tradeoffs on accuracy, cost, latency, and vendor sustainability. 
  • Judgment to know when a classifier, statistical model, or rule is a better fit than an agent. 
  • Strong software engineering skills in Python, including version control, testing, and monitoring; able to build production-grade code, not just notebooks. 
  • Understanding of statistics and decision costs sufficient to design agent evaluation frameworks and confidence thresholds. 
  • Ability to assess data quality for agent inputs and design dashboards to monitor agent performance in production. 
  • Strong communication skills with the ability to translate technical tradeoffs into plain language. 
  • Ability to preserve confidential and proprietary information and successfully avoid conflicts of interest. 
  • Experience working effectively in cross-functional teams and establishing positive working relationships across functions and levels. 
  • Experience with MLOps/AIOps practices, version control tools (e.g., GitHub, Azure DevOps), Agile software development best practices, AI-assisted coding tools (e.g., Claude Code) to accelerate development; and data visualization platforms (e.g., Power BI, Tableau) preferred. 
  • Must be able to prioritize, manage multiple concurrent workstreams, and recognize when to seek direction. 

Competencies             
  • Data, Analytics & AI 
  • Building Relationships 
  • Communication 
  • Initiative 
  • Dependability 
  • Judgement/Decision Making 
 
Equipment Used, Physical Demands, and Work Environment
Equipment Used:
  • General office equipment, telephone, automobile, personal protective equipment (i.e. safety glasses, hearing protection) when visiting plants.  
Physical Demands & Work Environment: The physical demands and work environment characteristics are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  
  • Physical:  Sitting for long periods of time working on the computer or attending meetings. Job site visits require walking on uneven ground, steep slopes, and exposure to extreme temperature and/or humidity.  Some lifting of materials and equipment up to 20 lbs.  
  • Work Environment:  Typical office environment with adequate temperatures and lighting, low levels of noise. Demands of meeting tight deadlines. Exposed to the conditions of job sites which can include loud noise, dust, fumes, and extreme weather conditions prevalent at the time. May work various hours, including early mornings, dusk or evenings. 
 
BASE SALARY RANGE:
$138,333.00 - $193,667.00
The range displayed reflects the range the company reasonable expects to pay for the position. The actual base salary is subject to variation due to the role, level, geographic location, relevant education, training, or experience, among other factors.
Employer Disclosure Statement  
The above statements and job description is intended to describe the nature and level of work being performed within this job.  They are not intended to be an exhaustive list of all responsibilities, duties, and tasks.  Other similar or additional duties are performed as assigned.
Equal Opportunity Employer
Teichert and its subsidiaries pride themselves on being an Equal Opportunity Employer. Individuals seeking employment at our company are considered without regards to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state or local laws.
Applicants with disabilities may be entitled to reasonable accommodation.  A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the company.  If you are an applicant with a disability, please inform Robert Maxey (RMaxey@teichert.com) if you need assistance completing any forms or to otherwise participate in the application process.
Notice to Staffing Agencies
Teichert, Inc. and its subsidiaries (Teichert) will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Teichert, including unsolicited resumes sent to a Teichert mailing address, fax machine or email address, directly to Teichert employees, or to Teichert's resume database will be considered Teichert property. Teichert will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Teichert will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. Agencies must obtain advance written approval from Teichert's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Teichert will not pay a fee to any Agency that does not have such agreement in place. Agency agreements will only be valid if in writing and signed by Teichert's Human Resources Representative or his/ her designee. No other Teichert employee is authorized to bind Teichert to any agreement regarding the placement of candidates by Agencies.

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