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Manager Statistical Programming Jobs in Austin, TX

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Description The position is on Apple's innovative Datacenter MLB Reliability Engineering team ... explain complex statistical concepts to non-experts. Ability to manage multiple projects ...

Managing the budget for their toolset * Supplier engagement * Engage individually and as a team ... Fluent in Data / Statistical analysis and Statistical Process Control * Experimental design for ...

... Statistics, Engineering, Mathematics, or a related field. * 3+ years of experience developing AI ... Communicates clearly with product managers, engineers, and operational teams. * Takes ownership of ...

Manufacturing Engineer

Austin, TX

$72K - $93K/yr

Utilize CAD/CAM software, simulation tools, and statistical analysis (e.g., Minitab or SPC) to ... Manage equipment setup, validation, and maintenance for manufacturing tools, including CNC machines ...

Manufacturing Engineer

Austin, TX · On-site

$72K - $93K/yr

Utilize CAD/CAM software, simulation tools, and statistical analysis (e.g., Minitab or SPC) to ... Manage equipment setup, validation, and maintenance for manufacturing tools, including CNC machines ...

... ability to plan and manage workload. * Possesses a strong understanding of statistics and ... Experience with AI, to improve engineering process efficiency. * Experience with Teradyne IG-XL ...

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

Use machine learning and statistical modelling techniques such as Decision Trees, Logistic ... Partner with product managers, data scientists, and other engineers to deliver impactful solutions

... statistical analysis and overall manufacturing efficiency. * Coordinate with design, test ... Manage yield enhancement and cost reduction projects. Required Skills and Qualifications

Process Engineering Manager - Parts Reports to: VP of Manufacturing Location: San Marcos, Texas We ... Partnering with Quality Assurance to resolve non conformances, establish statistical process ...

Showing results 41-60

Manager Statistical Programming information

See Austin, TX salary details

$82.4K

$143.6K

$242.8K

How much do manager statistical programming jobs pay per year?

As of Sep 2, 2026, the average yearly pay for manager statistical programming in Austin, TX is $143,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a manager statistical programming?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a manager statistical programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the manager statistical programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

What are popular job titles related to Manager Statistical Programming jobs in Austin, TX?

For Manager Statistical Programming jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Manager Statistical Programming jobs in Austin, TX look for?

The top searched job categories for Manager Statistical Programming jobs in Austin, TX are:

What cities near Austin, TX are hiring for Manager Statistical Programming jobs?

Cities near Austin, TX with the most Manager Statistical Programming job openings:

Infographic showing various Manager Statistical Programming job openings in Austin, TX as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $145,997 per year, or $70.2 per hour.

Data Center - MLB Reliability Engineer

Apple

Austin, TX • On-site

$101K - $127K/yr

Full-time

Re-posted 15 hours ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

At Apple, we don’t just follow industry standards-we define them. We value creative problem-solving and the ability to adapt to new technical challenges. In this role, you will collaborate with diverse hardware teams to ensure our data center infrastructure is not only durable, but built to exceed expectations. From early concepts to field optimization, you will drive innovative reliability strategies and continuous improvement to shape the future of the critical systems powering our global services.
Description
The position is on Apple’s innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next-generation Data Center motherboards. In this role, you will bridge the gap between component-level and package level physics of failures and system-level availability. You will drive SoC and board integration reliability through rigorous stress testing and physics-of-failure analysis, utilizing advanced statistical modeling to ensure these critical modules meet the uptime and availability requirements of a high-demand data center environment","responsibilities":"Lead the board-level reliability strategy for high-performance computing (HPC) motherboards and server systems.
Utilize Design and Process FMEA to identify, categorize, and eliminate failure modes early in the design cycle.
Apply physics-of-failure principles to analyze semiconductor packages, Second Level Interconnects (SLI), and PCB materials.
Develop advanced reliability models such as Reliability Block Diagrams (RBDs), Markov Chains, and Bayesian analysis to quantify board-level risk and its contribution to overall system availability.
Translate Reliability, Availability, and Serviceability (RAS) metrics for large-scale data center deployments into actionable board-level design targets and validation criteria.
Design and execute comprehensive test plans including Mechanical Stress, Environmental Testing, and Accelerated Life Testing (ALT).
Drive rigorous Root Cause Analysis (RCA) and perform statistical analysis to assess design maturity.
Work with cross-functional teams to translate system-level availability requirements into component specifications.
Preferred Qualifications
MS or PhD in Reliability Engineering, Systems Engineering, Electrical Engineering, Materials Science, or an equivalent field..
Background in reliability for large-die packages, heterogeneous integration, and high-power server motherboards.
Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures.
Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and scripting languages for statistical modeling like Python, R, or MATLAB.
A record of initiating innovation and continuous improvement in reliability methodologies.
Dynamic and "can-do" attitude with a desire to work with a great team and product.
Exceptional problem-solving abilities and strong attention to detail.
Minimum Qualifications
BS in Materials Science, Electrical, Mechanical Engineering or an equivalent field desired with 5+ years of experience.
Proficiency in statistical life data analysis
Strong knowledge of Semiconductor package integration, SLI reliability, passive components, PCB reliability, bonding materials, and warpage control.
Ability to apply FMEA (Failure Modes and Effects Analysis) methodologies.
Excellent written and verbal communication skills with the ability to explain complex statistical concepts to non-experts.
Ability to manage multiple projects simultaneously in a fast-paced environment.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976