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Statistical Programmer Jobs in Delaware (NOW HIRING)

Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of ...

New

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Lead Electrical Engineer

Newark, DE

$156K - $163K/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 ...

DSWA is seeking to fill two Engineer positions for our Dover Administrative Office. The positions ... Knowledge of mathematical and statistical concepts. Knowledge of applicable state, federal and ...

DSWA is seeking to fill two Engineer positions for our Dover Administrative Office. The positions ... Knowledge of mathematical and statistical concepts. Knowledge of applicable state, federal and ...

DSWA is seeking to fill two Engineer positions for our Dover Administrative Office. The positions ... Knowledge of mathematical and statistical concepts. Knowledge of applicable state, federal and ...

Staff Engineer, Quality

Newark, DE · On-site

$70K - $91K/yr

Partner with Manufacturing, Process Engineering, and R&D teams to improve product quality, process ... Develop and implement Statistical Process Control (SPC) methods and process monitoring strategies

Staff Engineer, Quality

Newark, DE · On-site

$70K - $91K/yr

Partner with Manufacturing, Process Engineering, and R&D teams to improve product quality, process ... Develop and implement Statistical Process Control (SPC) methods and process monitoring strategies

Staff Engineer, Quality

Newark, DE · On-site

$70K - $91K/yr

Partner with Manufacturing, Process Engineering, and R&D teams to improve product quality, process ... Develop and implement Statistical Process Control (SPC) methods and process monitoring strategies

Staff Engineer, Quality

Newark, DE · On-site

$70K - $91K/yr

Partner with Manufacturing, Process Engineering, and R&D teams to improve product quality, process ... Develop and implement Statistical Process Control (SPC) methods and process monitoring strategies

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Statistical Programmer information

See Delaware salary details

$84.6K

$147.4K

$249.2K

How much do statistical programmer jobs pay per year?

As of Sep 14, 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 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.

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 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:

Infographic showing various Statistical Programmer job openings in Delaware as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $147,418 per year, or $70.9 per hour.

Senior Programmer FSP - RWD/EPI

Dover, DE • On-site

Other

Posted yesterday

New


Job description

You will contribute by:

  • Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities


  • Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms


  • Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data


  • Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)


  • The position will partner with Epidemiologists to manage relationships with internal and external stakeholders


  • Being able to prioritize and manage work across multiple projects and stakeholders


  • Providing strong communication to ensure successful and timely project delivery


  • Solving technical problems with experience and expertise



Summary of Key Responsibilities:

  • Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)


  • Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols


  • Create analytical databases from data extracts to facilitate conduct of data analyses


  • Conduct analyses consistent with methods set forth in study protocols and analysis plans


  • Produce tables and figures for discussions with other investigators, clients, and for study reports


  • Present results internally and to clients


  • Assist in the preparation of study reports and other deliverables


  • May have supervisory responsibilities in the future



What we’re looking for:

  • Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution


  • Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required


  • Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is required


  • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts


  • Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting


  • Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion


  • Confident and competent when interacting with internal and external stakeholders


  • Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence



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