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Entry Level Statistical Programmer Jobs in Seattle, WA

Point72

Cubist Quantitative Researcher

Seattle, WA

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... statistics, data science, computer science, or other quantitative discipline. * Programming in ...

Pwc

AI & GenAI Data Scientist - Manager

Seattle, WA · On-site

$99K - $232K/yr

... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsEntry Level Statistical Programmer JobsEntry Level Statistical Programmer Jobs in Seattle, WA

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 21, 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.
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Entry Level Statistical Programmer jobs near you
Cubist Quantitative Researcher

Cubist Quantitative Researcher

Point72

Seattle, WA

Other

Posted 14 days ago

Job description

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

  • Conduct original quantitative alpha signal research
  • Follow, digest and analyze the latest academic research
  • Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
  • Build analytical tools to supplement our shared research framework 

REQUIRMENTS 

  • B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
  • Programming in Python (or comparable language) and working knowledge of SQL
  • Strong analytical and quantitative skills.
  • Willingness to take ownership of his/her work.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • Detail-oriented.
  • Prior experience in the financial services industry is not required. 
  • A commitment to the highest ethical standards. 

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