ZipRecruiter

Log In

1

Statistical Programmer Jobs in Delaware (NOW HIRING)

Qnity

Sr. Quality Engineer

Newark, DE · On-site

$86K - $117K/yr

This role is ideal for a technically strong engineer who is passionate about statistical process control, data-driven decision making, and continuous improvement . As the site's PCS subject matter ...

IT MINDS L.L.C.

Quality Engineer - Medical Device

Newark, DE · On-site

$70K - $90K/yr

Quality Engineer - Medical Device Location: Delaware Largescale Medical Device client facing a ... plans and statistical justifications o Determine appropriate sample sizes and rationale • ...

SynergisticIT

Entry Level ML Engineer

Dover, DE · On-site

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to ...

Qnity

Product Development Engineer

Newark, DE · On-site

Conduct engineering tests and perform statistical data reviews to prepare technology packages for commercialization. * Set up control plans and quality systems, such as SPC charts, for new ...

Hologic Inc.

Sr. Supplier Quality Engineer

Newark, DE · On-site

$98K - $154K/yr

Statistical Process Controls (SPC) and statistical sampling * PPAP (Production Part Approval ... Bachelor's degree in an engineering field (specific discipline may vary based on business needs)

Hologic

Sr. Supplier Quality Engineer

Newark, DE · On-site

$98K - $154K/yr

Statistical Process Controls (SPC) and statistical sampling * PPAP (Production Part Approval ... Bachelor's degree in an engineering field (specific discipline may vary based on business needs)

Bloom Energy

Principal Quality Engineer

Newark, DE

Lead multiple complex projects, utilizing statistical methods and structured quality tools to ... Review process flows, engineering deviations, engineering changes and other activities that make up ...

Bloom Energy

Senior Staff Quality Engineer

Newark, DE

$86K - $117K/yr

Utilizing statistical methods and structured quality tools to deliver breakthrough solutions ... Review process flows, engineering deviations, engineering changes and other activities that make up ...

Pennoni

Graduate Bridge Engineer

Newark, DE

... concrete design, statistical analysis) * Ability to learn new concepts and systems (electrical ... May be working with a team of engineers to design and install structural health monitoring (SHM ...

next page

Showing results 1-20

All JobsStatistical Programmer JobsStatistical Programmer Jobs in Delaware

Statistical Programmer information

See Delaware salary details

$84.6K

$147.4K

$249.2K

How much do statistical programmer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for statistical programmer in Delaware is $147,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,100.00 and $160,100.00 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.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory reporting are critical. Skills in SAS, along with knowledge of data management and statistical analysis, increase employability, especially for roles requiring compliance with industry standards. The demand for SAS programmers remains steady due to ongoing needs for data-driven decision-making and regulatory submissions.

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 much does a statistical programmer earn?

The average salary for a statistical programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in SAS, R, or Python may earn higher compensation, often exceeding $120,000 per year.

What is SAS developer salary?

The salary for a SAS developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled SAS programmers with certifications and knowledge of data management tools often earn higher salaries, especially in pharmaceutical, healthcare, and finance sectors.

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, working closely with statisticians and data managers in a regulated environment.

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.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Delaware? The most popular types of Statistical Programmer jobs in Delaware are:
What are popular job titles related to Statistical Programmer jobs in Delaware? For Statistical Programmer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Delaware look for? The top searched job categories for Statistical Programmer jobs in Delaware are:
What cities in Delaware are hiring for Statistical Programmer jobs? Cities in Delaware with the most Statistical Programmer job openings:
What are popular job titles related to Statistical Programmer jobs in DE? For Statistical Programmer jobs in DE, the most frequently searched job titles are:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Delaware as of June 2026, with employment types broken down into 10% Internship, 80% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $147,418 per year, or $70.9 per hour.
Digital Innovation Engineer

Digital Innovation Engineer

Celanese Corporation

Wilmington, DE • On-site

Full-time

Posted yesterday

Celanese rating

7.6

Company rating: 7.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

49th of 90 rated chemical manufacturers

Job description

Overview:
Celanese Engineered Materials is seeking an Engineer, Digital Innovation - Predictive Modeling & Advanced Experimentation role. This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in new product and material development.
This role is an opportunity to play a key role in advancing predictive modeling and advanced experimental strategy to accelerate the design and development of next-generation materials. Applying rigorous quantitative methods to enable informed decision-making early in technology and product development.
The role operates at the intersection of modeling, statistics, and machine learning, with a strong emphasis on translating these capabilities into practical approaches that support technology and innovation programs. This position also builds and deploys digital methods to guide experimentation, prediction, and optimization that support computer aided engineering and new product development efforts.
**Location can be hybrid in one of the following locations:
  • Wilmington, DE
  • Florence, KY
  • Auburn Hills, MI
  • Irving, TX

Responsibilities:
Predictive Modeling for Material Property Design
  • Develop and apply predictive and hybrid machine learning approaches for the prediction of properties key to designing the next generation of materials.
  • Integrate mechanistic understanding, statistical modeling, and data-driven methods to generate reliable, decision-ready predictions.
  • Quantify model confidence and limitations to support risk-aware technical decisions.
  • Translate complex modeling outputs into clear, actionable insights for technology and innovation stakeholders.

Experimental Design & Bayesian Optimization for New Product Development
  • Design and apply advanced experimental design strategies and Bayesian optimization for new product development.
  • Efficiently explore high-dimensional design spaces to prioritize experiments and identify optimal candidates for laboratory evaluation.
  • Apply adaptive and sequential learning approaches to balance exploration and exploitation under limited data conditions.

Qualifications:
  • Master's Degree or higher, or with equivalent experience in computer science, computer engineering, machine learning, physics, applied mathematics or related field
  • Understanding of advanced materials, chemical processes, and laboratory data is a plus.
  • 1+ years' work experience with modeling development, data analysis, business communication, and digital transformation is highly desirable.
  • Proficiency in AI + physics-based machine learning.
  • Working understanding of material science fundamentals
  • Strong foundation in applied statistics, experimental design, and probabilistic modeling.
  • Expertise in predictive modeling and simulation for material or system property prediction.
  • Experience with uncertainty quantification, model validation, and decision support under uncertainty.
  • Ability to translate advanced quantitative methods into practical workflows including proof-of-concept full-stack (backend + frontend) applications that inform technology and product decisions.
  • Working across the full lifecycle: problem formulation → model and strategy development → application and adoption.
  • Communicating complex modeling and experimental concepts clearly to diverse technical audiences.
  • Influencing technology and innovation decisions through quantitative, model-driven insight.
  • Operating effectively in cross-functional environments spanning product development, technology, innovation, and digital teams.

What Celanese employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Celanese logo

About Celanese

Sourced by ZipRecruiter

We produce products that make our lives a little easier, by helping customers to bring their inspired ideas and innovations to life. From the global production network of our Acetyl Chain, we provide materials that are critical to the global chemicals and paints and coatings industries. From our broad portfolio of Materials Solutions, we advance automotive and consumer electronic designs and enable life-improving medical, food and beverage products – we offer solutions to our customers to help them succeed.

Industry

Chemical manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Irving, TX, US

Year founded

1912

Social media

FacebookTwitter

View All Celanese Jobs

Apply