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Statistical Engineering Jobs in Texas (NOW HIRING)

The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and ...

The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and ...

The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and ...

In this vital role you will provide both strategic oversight and hands-on statistical programming support to enable high-quality and timely clinical trial deliverables. This role is part of the ...

Statistical Analyst

Dallas, TX ยท On-site +1

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ... Python programming language * Cardiovascular Data Analysis * Experience working in a healthcare or ...

Statistical Analyst

Dallas, TX ยท On-site +1

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ... Python programming language * Cardiovascular Data Analysis * Experience working in a healthcare or ...

Statistical Analyst

Dallas, TX ยท On-site

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ... Python programming language * Cardiovascular Data Analysis * Experience working in a healthcare or ...

Finance AI & ML Senior Analyst

Houston, TX ยท On-site +1

$81K - $101K/yr

Demonstrated success applying deep technical expertise in mathematical, statistical, engineering, or finance domains. * Proven track record of owning complex end-to-end ML projects from ideation to ...

Finance AI & ML Senior Analyst

Houston, TX ยท On-site

$81K - $101K/yr

Demonstrated success applying deep technical expertise in mathematical, statistical, engineering, or finance domains. * Proven track record of owning complex end-to-end ML projects from ideation to ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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Showing results 1-20

Statistical Engineering information

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What job categories do people searching Statistical Engineering jobs in Texas look for? The top searched job categories for Statistical Engineering jobs in Texas are:
What cities in Texas are hiring for Statistical Engineering jobs? Cities in Texas with the most Statistical Engineering job openings:
Infographic showing various Statistical Engineering job openings in Texas as of June 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Senior Statistical Programmer

Senior Statistical Programmer

Katalyst HealthCares & Life Sciences

Austin, TX โ€ข On-site

Other

Posted 22 days ago


Job description

Statistical Programmer

Responsibilities:

Ensure departmental or functional training plans in place and appropriate

Perform vendor qualifications regarding statistical programming functions and manage CRO programming issues and activities to ensure on time deliverables within budget

Generate, validate, and/or review SDTM domains and ADaM datasets and associated specifications

Generate, validate, and/or review tables, figures and listings to support the statistical analysis of clinical trials data in support of regulatory submissions and publications

Generate or perform quality control for SAS programs and other study documents (e.g., presentations and reports)

Maintain complete and auditable documentation of all programming activities

Manage datasets and output across SAS programs, studies, and indications to ensure consistency

Manage and provide statistical programming support to supplemental or exploratory analyses for pharmacovigilance, regulatory agencies, or any other internal and external ad-hoc requests

Manage programming, testing, and documenting SAS global utility programs and tools in accordance with standards and validation procedures

Develop and/or maintain departmental procedures and standards

Review CRFs, edit check specifications, and table, figure, and listing mock-ups

Manage, generate, and/or review acrf.pdf, define.xml, define.pdf, and reviewer's guide documents

Assist in validation of SAS per 21 CFR Part 11

Train and mentor new members and programmers; supervise contract programmers, as needed

Requirements:

Bachelor's degree in Statistics, Mathematics, Computer Science or a related field required

Minimum of 6 years biotechnology/pharmaceutical/CRO industry experience as a statistical programmer

Prior experience overseeing statistical programming contractors required

Compound oversight experience highly preferred

Extensive knowledge of SAS Macros highly preferred, in addition to knowledge of Base SAS, SAS/STAT, SAS/Graph, SAS/SQL and SAS/ODS

Experience working with other languages or software (R, Python, Spotfire) in validated environments is strongly preferred

Demonstrates extensive knowledge with industry standards, such as the ICH guidelines, CDISC standards/implementation guides, 21 CFR Part 11, and FDA guidelines

eCTD NDA submission experience is a must.


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About Katalyst Healthcares & Life Sciences

Sourced by ZipRecruiter

Katalyst HealthCares & Life Sciences is a Global Contract Research Organization that provides services in Clinical Research, Manufacturing & Quaity, Regulatory Affairs Areas.. Industries Serving: Pharmaceutical Bio-Pharmaceutical Medical Device Cosmeceuticals & Cosmetics Food & Beverage Clinical Research Scientific Areas Covering: Clinical Research Manufacturing Quality & Validations Regulatory Affairs Intellectual Property Through our in-house team expertise, associates and alliances in the US, Europe and Asia, we can rapidly deliver services, technology, processes and workforce globally, either virtually or integrate into client project space, providing oversight and expertise for individual needs to total end-to-end support for all kinds of clinical trials of Pharma, Biotech, Medical Device and all other scientific products and their manufacturing.

Industry

Scientific research and development services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

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