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Process Analytical Technology Scientist Jobs in Arizona

... analytics, to automate processes, enhance decision-making, and generate business insights ... Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... processes, and implement scalable workforce technology and analytics solutions. * Configure and ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... processes, and implement scalable workforce technology and analytics solutions. * Configure and ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... processes, and implement scalable workforce technology and analytics solutions. * Configure and ...

Scientist 2

Scottsdale, AZ ยท On-site

$75K - $81K/yr

Pitch additional analyses * Contribute more meaningfully to research design This role requires ... STEM-related fields are ideal (science, technology, engineering, math) * Candidates must have taken ...

Technology Analyst

Marana, AZ ยท On-site

$66K - $99K/yr

Collaborates with technical and department teams to ensure business processes and initiatives are ... Strong analytical skills to interpret and translate business needs into application and operational ...

Technology Analyst

Marana, AZ ยท Hybrid

$54K/yr

Collaborates with technical and department teams to ensure business processes and initiatives are ... Bachelor's degree in information technology, computer science, business administration or closely ...

Unisys Mainframe Developer

Phoenix, AZ ยท On-site

$48.75 - $62.50/hr

... processes and procedures What You Need To Succeed * Bachelor's Degree in Computer Science ... Excellent analytical, technology, communication, decision making, debugging and problem-solving ...

Data Scientist II

Tempe, AZ ยท Hybrid

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... more advanced analytics methods, statistical modeling, and/or data processing Bonus points:

Data Scientist

Phoenix, AZ ยท On-site

$161K - $228K/yr

The Advanced Packaging Technology and Manufacturing (APTM) organization is looking for data scientist to support Thermal Compression Bonding (TCB) process control, manufacturing data analytics, yield ...

This is a critical time for the semiconductor industry and for UCT - as technology evolves, we ... Participates in customer audits, complaint resolution, costs analysis/time study as they relate to ...

New

... IT systems - to boost productivity, automate processes, reduce costs, and create new revenue ... Works with business and analytics leaders to prioritize analytics and modeling problems/research ...

Process Technician I

Tolleson, AZ ยท On-site

$48K - $66K/yr

Collect and analyze process data; escalate trends or anomalies to supervisors or engineers as ... Bachelor's degree in manufacturing engineering technology, Materials Science, Physics ...

Collect and analyze process data; escalate trends or anomalies to supervisors or engineers as ... Bachelor's degree in manufacturing engineering technology, Materials Science, Physics ...

Showing results 21-40

Process Analytical Technology Scientist information

What are some typical challenges faced by process analytical technology scientists in implementing new analytical tools within manufacturing environments?

Process Analytical Technology Scientists often encounter challenges such as integrating new analytical tools with existing manufacturing systems, ensuring data integrity, and managing cross-functional collaboration between engineering, quality, and production teams. They must also address regulatory requirements and validate new technologies to meet compliance standards. Staying updated on emerging technologies and training staff effectively are crucial for successful implementation and ongoing process optimization.

What are the key skills and qualifications needed to thrive as a process analytical technology scientist?

To thrive as a Process Analytical Technology Scientist, you need a strong background in chemistry, chemical engineering, or a related field, often supported by an advanced degree and experience in process development. Familiarity with analytical instrumentation (such as NIR, FTIR, Raman spectroscopy), data analysis tools, and regulatory frameworks like FDA's PAT guidance is crucial. Strong problem-solving, collaboration, and communication skills help bridge the gap between R&D, manufacturing, and quality teams. These abilities ensure that processes are robust, efficient, and compliant, leading to higher product quality and regulatory success.

What does a process analytical technology scientist do?

A Process Analytical Technology (PAT) Scientist is responsible for developing and implementing analytical tools and techniques to monitor and control manufacturing processes, particularly in the pharmaceutical, biotechnology, and chemical industries. Their main goal is to ensure product quality, consistency, and efficiency by collecting real-time data during production. PAT Scientists work closely with engineers, quality assurance teams, and manufacturing staff to optimize processes, troubleshoot issues, and comply with regulatory standards. They also help integrate advanced technologies like spectroscopy, chromatography, and chemometrics into production environments.

What is the difference between Process Analytical Technology Scientist vs Quality Control Analyst?

AspectProcess Analytical Technology ScientistQuality Control Analyst
Required CredentialsBachelor's or Master's in Chemistry, Chemical Engineering, or related field; knowledge of PAT toolsBachelor's in Chemistry, Biology, or related field; focus on testing and analysis
Work EnvironmentPharmaceutical or biotech manufacturing, R&D labs, process developmentQuality control labs, manufacturing facilities, testing environments
Industry UsageUsed in process optimization, real-time monitoring, and process validationUsed for product testing, quality assurance, and compliance

The Process Analytical Technology Scientist focuses on implementing real-time analytical tools to optimize manufacturing processes, while the Quality Control Analyst primarily conducts testing to ensure product quality. Both roles require chemistry-related credentials and work within manufacturing or lab environments, but their core responsibilities differ in scope and purpose.

What job categories do people searching Process Analytical Technology Scientist jobs in Arizona look for?

The top searched job categories for Process Analytical Technology Scientist jobs in Arizona are:

Data Scientist

Champions Funding LLC

Gilbert, AZ โ€ข On-site

Full-time

Posted 22 days ago


Job description

Description:

• Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments.
• Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights.
• Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value.
• Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements.
• Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments.
• Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models.
• Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders.
• Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement.
• Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation.
• Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization.
• Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance.
• Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency.

Requirements:

• Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred.
• Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.
• Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks.
• Experience developing, deploying, and maintaining machine learning models in production environments.
• Strong understanding of cloud computing platforms and modern data science tools and technologies.
• Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations.
• Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams.
• Experience within financial services, mortgage lending, or other highly regulated industries preferred.
• Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus.