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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 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 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 are popular job titles related to Statistical Engineering jobs in California? For Statistical Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in California look for? The top searched job categories for Statistical Engineering jobs in California are:
What cities in California are hiring for Statistical Engineering jobs? Cities in California with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in California as of July 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Statistical Programmer/Sr. Statistical Programmer

Arrowhead Pharmaceuticals

Pasadena, CA • On-site

$90K - $135K/yr

Full-time

Re-posted 4 days ago

Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.
Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.
Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.
The Position
We are seeking a statistical programmer to join our growing biometrics team to support clinical studies across Arrowhead's expanding portfolio. This is an exciting opportunity for a candidate trained in statistical methods and analysis who has some or limited prior experience working as a statistical programmer. They will initially contribute their expertise in the area of statistical programming, with a goal to develop as a clinical trial statistician.
Responsibilities
  • Develop targeted, study-specific SDTM and ADaM dataset checks
  • Perform independent QC, from raw data to ADaM, of primary and key secondary endpoints
  • Deliver programming results for ad-hoc analysis requests
  • Collaborate with data management and their programming team to ensure appropriate data collection and reporting
  • Participate in study team meeting and support statistician operational activities
  • Assist in efforts to identify, develop, and implement departmental standards, applications, processes and training

Requirements
  • Master's degree in Biostatistics/Statistics
  • Basic understanding of clinical trials
  • Working knowledge of SAS, including complex data manipulation and basic analysis procedures; or certifications for SAS programming
  • Excellent verbal and written communication skills

Preferred
  • Familiarity with CDISC standards, derivation of SDTM and ADaM specifications
  • Simulations and sample size calculation
  • Proficiency in R
  • CRO experience

California pay range
$90,000-$135,000 USD
Arrowhead provides competitive salaries and an excellent benefit package.
Candidates must have current, valid authorization to work in the country where this role is located.
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