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Entry Level Statistical Programmer Jobs in Austin, TX

Pwc

Data Engineer - Senior Associate

Austin, TX

$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 ...

Managed Staffing

Data analyst I

Austin, TX · 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 ...

Vish Consulting Services Inc

AutoCAD Drafter

Austin, TX · 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.

Natera

EHS Administrator

Austin, TX · On-site

This entry-level role is responsible for maintaining accurate EHS records, tracking regulatory ... The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory ...

New

Natera

EHS Administrator

Austin, TX

This entry-level role is responsible for maintaining accurate EHS records, tracking regulatory ... The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory ...

New

All JobsStatistical Programmer JobsEntry Level Statistical Programmer JobsEntry Level Statistical Programmer Jobs in Austin, TX

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 Jul 13, 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 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 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.

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 Austin, TX? The most popular types of Statistical Programmer jobs in Austin, TX are:
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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:
Entry Level Statistical Programmer jobs near you

Diffusion Process Engineer - Entry Level

NXP Semiconductors N.V.

Austin, TX • On-site

Full-time

Re-posted 21 days ago

Job description

The Diffusion Process Engineer opportunity is in a high-volume semiconductor wafer manufacturing environment. The position requires ownership and responsibility for control, development, and optimization of semiconductor processes and equipment. This role plays a critical part in ensuring high material quality, yield, and process stability for high-volume manufacturing.
Key Challenges:
  • Develop and optimize processes for silicon semiconductors
  • Implement and maintain SPC (Statistical Process Control) and FDC (Fault Detection and Classification) systems.
  • Analyze metrology data to monitor material quality and drive improvements.
  • Reduce defectivity mechanisms and improve process control
  • Lead troubleshooting and root cause analysis for process deviations and yield issues.
  • Participate in and/or lead cross-functional and lean activity teams.
  • Work with minimal supervision, balancing competing priorities, to serve the needs of the engineering and manufacturing communities
  • Drive equipment performance to maximize capacity and yield performance.
  • Improve cost performance of equipment.
  • Mentor engineers and provide technical leadership.

Job Qualifications:
  • Recent B.S. Degree in Engineering or Materials Science
  • Up to 2 years work experience
  • Positive interpersonal skills, highly energetic and self-motivated
  • Excellent verbal and written communication skills
  • Quality first mindset
  • Statistical analysis skills
  • Project management skills

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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