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Entry Level Statistical Programmer Jobs (NOW HIRING)

SynergisticIT

Entry Level Java Developer

Denver, CO

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking ... entry level position each additional Technical skill helps a candidate's resume to be picked by ...

SynergisticIT

Entry Level Java Developer

Austin, TX

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ... entry level position the additional skills are the only way a candidate can be picked by clients.

SynergisticIT

Entry Level ML Engineer

Albuquerque, NM · On-site

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ... entry level position the additional skills are the only way a candidate can be picked by clients.

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All JobsEntry Level Statistical Programmer Jobs

Entry Level Statistical Programmer information

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$84.5K

$147.3K

$249K

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

As of Jun 19, 2026, the average yearly pay for entry level statistical programmer in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 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
Software Engineer/Programmer/Coder (Entry Level)

Software Engineer/Programmer/Coder (Entry Level)

SynergisticIT

Tampa, FL

Other

Posted 22 days ago

Job description

Job Posting

SYNERGISTICIT wants every job seeker to be aware that the job market is challenging and to stand out you need to have exceptional skills and technologies which make you stand out from other job seekers. If your skills and your project work are similar to others then it's difficult to stand out to the clients. Since 2010 we have helped jobseekers stand out by ensuring only the best candidates with the requisite skillset go to the clients and get the attention that they need. We just don't focus on getting you a job we make careers Position open for all visas and US citizens 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 thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Walmart labs, etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for 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 Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply.

We assist in filing for STEM extension and also for H1b and Green card filing to Candidates Candidates who are serious about their future in the IT Industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who want to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement Candidates who Lack Experience Have had a break in careers Lack Technical Competency Different visa candidates who want to get employed and settle down in the USA

Please understand skills are required by clients for selection even if it's a Junior or entry-level position the additional skills and Project work are the only way a candidate can be picked by clients. If not having the above candidates can opt for skill enhancement to gain the required skills and project work. No third-party candidates or c2c candidates please apply to the posting

Required Skills For Java Software Programmers
  • Bachelor's degree or Masters's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in the programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, Javascript, C++, or software programming
  • Spring boot, Microservices, Docker, Jenkins, and REST API experience
  • Excellent written and verbal communication skills
Required Skills For Data Science/Machine Learning

REQUIRED SKILLS

  • Bachelor's degree or Masters's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in the programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, Time series analysis

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