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Entry Level Statistical Programmer Jobs in Austin, TX

Data analyst I

Austin, TX ยท On-site

$25 - $28/hr

At an entry level, performs engineering support duties. This position develops competence by ... facility statistics. Field research may involve various physical activities. - Prepares basic ...

CTIO-AI Engineer-Sr Associate

Austin, TX ยท On-site

$55K - $187K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AutoCAD Drafter

Austin, TX ยท On-site

$23/hr

At an entry level, performs drafting. This position develops competence by performing structured ... Reads and interprets engineering drawings, construction drawings and other technical information.

Work with the Analytics and Engineering teams to ensure tracking accuracy and data quality . * Help ... Bachelor's degree in Analytics, Marketing, Economics, Statistics, Business, or a related field. * 1 ...

Collaborates with engineering on functionality issues and procedure updates. * Presents training ... Ability to work with mathematical concepts such as probability and statistical inference, and ...

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Entry Level Statistical Programmer information

See Austin, TX salary details

$83.8K

$146K

$246.8K

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

As of May 29, 2026, the average yearly pay for entry level statistical programmer in Austin, TX is $145,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $158,600.00 per year, depending on experience, location, and employer.

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.

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 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 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 are the most commonly searched types of Statistical Programmer jobs in Austin, TX? The most popular types of Statistical Programmer jobs in Austin, TX are:
What are popular job titles related to Entry Level Statistical Programmer jobs in Austin, TX? For Entry Level Statistical Programmer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistical Programmer jobs in Austin, TX look for? The top searched job categories for Entry Level Statistical Programmer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Statistical Programmer jobs? Cities near Austin, TX with the most Entry Level Statistical Programmer job openings:

Automotive Product Engineer - Entry Level

NXP Semiconductors N.V.

Austin, TX โ€ข On-site

Full-time

Posted 28 days ago


Job description

Job Summary:
Automotive Product Engineering position responsible for product ownership from pre-silicon through production launch and industrialization phases.
  • Works together with test and design leads to ensure product compliance. Follows up to ensure production test coverage is consistent with the documented compliance.
  • Work across disciplines (wafer fab, assembly, probe, and test) to ensure new products will meet automotive cost and quality requirements.
  • Owns product characterization efforts and all data analysis confirming specification compliance and establishing optimal limits for Automatic Test Equipment prior to releasing products into manufacturing.
  • Ensures correlation between the ATE test results and the bench validation results.
  • Works together with test and quality leads to ensure products will meet automotive reliability requirements.
  • Executes product qualification per plan. Track and test all read points and drive corrective actions as needed.
  • Capable to drive failure analysis and diagnosis of qualification issues, yield issues and customer returns.
  • Provides engineering disposition based on bin limits, fab parametric correlation, and other relevant data to ensure the highest quality at the lowest cost.
  • Drives and manages volume ramp working together with the manufacturing teams to ensure a successful ramp.
  • Drives and prepares training to ensure sustaining engineers can handle daily production execution and retain required quality/cost.

Job Qualifications:
  • Bachelor's in Electrical Engineering (Dec 2025-May 2026 grads considered)
  • UP to 2 years work experience, including internships
  • Self-motivated to learn and contribute in global team environment
  • Excellent verbal and written communication skills
  • Quality first mindset
  • Statistical analysis skills
  • Project management skills
  • ATE - Teradyne Ultraflex

More information about NXP in the United States...
NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.
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