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Statistical Programmer Jobs in Delaware (NOW HIRING)

Proficiency in statistical programming languages such as R, Python, or SAS. * Knowledge of statistical modeling techniques, such as regression analysis, time series analysis, predictive modeling, and ...

Proficiency in statistical programming languages such as R, Python, or SAS. * Knowledge of statistical modeling techniques, such as regression analysis, time series analysis, predictive modeling, and ...

Can review or develop ADAM specifications; can work with programmers and junior statisticians to resolve comments. * High technical level, Subject Matter Expert in biostatistics; willing to guide ...

Senior Manager, Statistical Modeling

Newark, DE

$85.10K - $104.60K/yr

Proficiency in statistical programming languages such as Python, R, or SAS, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Strong understanding of statistical modeling ...

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85.10K - $104.60K/yr

Proficiency in statistical programming languages such as Python, R, or SAS, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Strong understanding of statistical modeling ...

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 ...

DSWA is seeking to fill a vacant Engineer position for our Dover Administrative Office ... Knowledge of mathematical and statistical concepts. Knowledge of applicable state, federal and ...

DSWA is seeking to fill a vacant Engineer position for our Dover Administrative Office ... Knowledge of mathematical and statistical concepts. Knowledge of applicable state, federal and ...

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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 May 31, 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 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.

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:
Infographic showing various Statistical Programmer job openings in Delaware as of May 2026, with employment types broken down into 82% Full Time, 8% Part Time, and 10% Contract. Highlights an 67% In-person, 5% Hybrid, and 28% Remote job distribution, with an average salary of $147,418 per year, or $70.9 per hour.
Manager, Statistical Modeling

Manager, Statistical Modeling

Sallie Mae

Newark, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Sallie Mae rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

When you join Sallie Mae, you become a champion for all students.
We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.
Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.
We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.
This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.
Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.
We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.
Come do more than join something, change something. For students, for future generations, for the future of education.
What You'll Contribute
The Manager, Statistical Modeling will be responsible for leading a team of statistical analysts and driving the development and implementation of statistical models and methodologies.
What You'll Do
  • Contribute to the development and execution of the statistical modeling strategy, aligning it with the organization's goals and objectives.
  • Foster a collaborative and innovative work environment that encourages knowledge sharing, professional growth, and continuous improvement.
  • Design and develop statistical models, algorithms, and methodologies to analyze complex data sets and solve business problems.
  • Analyze and interpret large and diverse data sets to identify patterns, trends, and correlations.
  • Develop and implement evaluation and validation procedures to ensure the accuracy, reliability, and scalability of statistical models.
  • Generate regular reports and presentations to communicate results, insights, and recommendations to senior leadership and relevant stakeholders.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.
What you have
Minimum: Indicate minimum education, skills and experience required.
  • Master's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related quantitative field.
  • 3+ years of experience in statistical modeling, including experience with developing and implementing statistical models.
  • Proficiency in statistical programming languages such as R, Python, or SAS.
  • Knowledge of statistical modeling techniques, such as regression analysis, time series analysis, predictive modeling, and machine learning algorithms.
  • Familiarity with data visualization tools and techniques to effectively communicate data insights.
  • Excellent analytical and problem-solving abilities, with a keen attention to detail.
  • Effective communication and interpersonal skills, with the ability to collaborate with stakeholders at various levels of the organization.

Preferred: Indicate "nice to haves" regarding education, skills, and experience.
  • Doctorate's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of experience in statistical modeling, including experience with developing and implementing statistical models.
  • 3+ years of experience in machine learning, including hands-on experience developing and deploying ML models in production environments.
  • Proficiency in statistical programming languages such as Python, R, or Java, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of supervised and unsupervised machine learning.
  • Experience with cloud-based ML platforms (e.g., AWS, Azure, Google Cloud).

The Americans with Disabilities Act
The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.
Feeling your best helps you do your best:
Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).
  • Competitive base salaries
  • Bonus incentives
  • Generous PTO, Floating Holidays and 12 Federal Holidays observed
  • Support for financial-well-being and retirement 401k with employer match
  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
  • Employer paid short-term/long-term disability and basic life insurance
  • Flexible hybrid working arrangements.
  • Paid parental leave and adoption reimbursement programs
  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
  • Tuition Reimbursement and Family Scholarship Programs
  • Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.