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Entry Level Statistical Programmer Jobs in Seattle, WA

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ...

... entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists. Who should apply? Recent computer science/engineering/mathematics/statistics or ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ...

... Statistics - Demonstrating proficiency in data engineering platforms like Databricks - Utilizing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Ability to work with mathematical concepts such as probability and statistical inference, and ... Interprets engineering drawings, process specifications, schematic diagrams, blueprints, test ...

Aviation Consultant

Bellevue, WA · On-site

$62K - $88K/yr

The ideal candidate will be responsible for conducting entry-level professional planning research ... Engineering, Architecture, Planning, Aviation Management, Urban Planning, Mathematics, Statistics ...

This is an entry level engineering position designed for those needing to gain experience to ... Ability to work with mathematical concepts such as probability and statistical inference, and ...

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Entry Level Statistical Programmer information

See Seattle, WA salary details

$96.2K

$167.6K

$283.4K

How much do entry level statistical programmer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry level statistical programmer in Seattle, WA is $167,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,300.00 and $182,100.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What is SAS developer salary?

SAS developers, including entry-level statistical programmers, typically earn between $60,000 and $85,000 annually, depending on experience, location, and industry. Proficiency in SAS software, data analysis, and programming skills can influence salary levels for this role.

What does an Entry Level Statistical Programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What are the key skills and qualifications needed to thrive as an Entry Level Statistical Programmer, and why are they important?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

Will AI replace SAS programmers?

Entry level statistical programmers using SAS perform tasks such as data management, analysis, and reporting that require domain knowledge and programming skills. While AI tools can assist with automating repetitive tasks, they are unlikely to fully replace SAS programmers in complex analysis, interpretation, and validation roles that require critical thinking and expertise. Developing skills in programming, data management, and understanding statistical methods remains valuable in the evolving job market.

Are SAS programmers in demand?

SAS programmers, including entry-level statistical programmers, are in steady demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and regulatory compliance are critical. Proficiency in SAS, along with knowledge of statistical methods and data management, enhances job prospects as organizations seek skilled professionals to handle large datasets and support clinical trials. Demand for SAS skills remains strong due to its widespread use in regulated environments and ongoing need for data analysis expertise.

Is SAS in high demand?

SAS is a widely used statistical software in industries such as healthcare, finance, and pharmaceuticals, making skills in SAS highly sought after for entry-level statistical programmer roles. The demand for SAS programmers remains strong due to its extensive use in data analysis, regulatory compliance, and clinical trials, though some organizations are also adopting open-source tools like R and Python. Proficiency in SAS can improve job prospects and salary potential in data-focused roles.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.
What are the most commonly searched types of Statistical Programmer jobs in Seattle, WA? The most popular types of Statistical Programmer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Statistical Programmer jobs in Seattle, WA? For Entry Level Statistical Programmer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistical Programmer jobs in Seattle, WA look for? The top searched job categories for Entry Level Statistical Programmer jobs in Seattle, WA are:
Software Engineer (Entry Level)

Software Engineer (Entry Level)

SynergisticIT

Tacoma, WA

Other

Posted 22 days ago


Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, docker, jenkins, github, kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.