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Entry Level Statistical Programmer Jobs in Kentucky

Wood Plc

Junior Water Resources Engineer

Louisville, KY

$75K - $103K/yr

Overview / Responsibilities Wood is currently recruiting entry level Water Resources Engineers in ... Statistical Analyses * Stormwater Modeling * Green Infrastructure planning & design Company ...

Pwc

Data Engineer - Senior Associate

Louisville, KY · On-site

$77K - $202K/yr

... 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Louisville, KY · 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 ...

All JobsEntry Level Statistical Programmer JobsEntry Level Statistical Programmer Jobs in Kentucky

Entry Level Statistical Programmer information

See Kentucky salary details

$73.4K

$127.9K

$216.3K

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 Kentucky is $127,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $139,000.00 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.
What are the most commonly searched types of Statistical Programmer jobs in Kentucky? The most popular types of Statistical Programmer jobs in Kentucky are:
What are popular job titles related to Entry Level Statistical Programmer jobs in Kentucky? For Entry Level Statistical Programmer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistical Programmer jobs in Kentucky look for? The top searched job categories for Entry Level Statistical Programmer jobs in Kentucky are:
Entry Level Statistical Programmer jobs near you
Entry Level Business Analyst

Entry Level Business Analyst

SynergisticIT

Richmond, KY

Other

Posted 14 days ago

Job description

SYNERGISTICIT understands that the job market is tough due to tech layoffs. Many laid-off jobseekers are competing with existing jobseekers, making it very competitive. Entry-level candidates need to stand out by having exceptional skills and technology knowledge to get noticed by clients.
Since 2010, we have helped jobseekers stand out by preparing them with the skills and experience needed to succeed in interviews and with clients. At SynergisticIT, we don't just help you find a job-we help build your career. All positions are open to all visa holders and U.S. citizens.
We understand the gap between employer requirements and employee skills. That's why we've helped thousands of people get jobs at top companies like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, and more. We have a great reputation with clients.
Current Open Positions

  • Entry-level software programmers
  • Java full-stack developers
  • Python/Java developers
  • Data analysts/data scientists
  • Machine learning engineers
Who Should Apply
  • Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in IT.
  • Candidates of all visa types and U.S. citizens are welcome to apply.
  • We assist with filing STEM extensions, H1B visas, and Green Cards.
Skill Enhancement Programs Candidates can benefit from these programs if they:
  • Lack experience or are freshers with no real job experience.
  • Had a break in their career.
  • Lack the technical skills or competencies required by clients.
  • Are visa holders (e.g., OPT, H4 EAD, L2 EAD) who want to work and settle in the USA.
Check out success stories from our candidates here: https://www.synergisticit.com/candidate-outcomes/
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
Required Skills for Java/Software Programmers
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience in Java programming and understanding the software development life cycle.
  • Project experience with these skills.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, Docker, Jenkins, and REST APIs.
  • Strong written and verbal communication skills.
Required Skills for Data Science/Machine Learning
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Project experience with the needed technologies.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience in Java programming and understanding the software development life cycle.
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
  • Strong written and verbal communication skills.
Preferred Skills For Data Science/Machine Learning: NLP, Text Mining, Tableau, Power BI, and Time Series Analysis.
Important Note
  • Clients require relevant skills and experience on real-world projects, even for junior or entry-level positions. Hands-on project work at client sites and additional skills are key to being selected.
  • Candidates without these skills or project experience can opt for skill enhancement to gain the required qualifications and project work.
  • No third-party or c2c candidates, please.
  • Apply only through the posting.
  • No phone calls, and only shortlisted candidates will be contacted.

Apply