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Internship Downstream Process Development Scientist Jobs in Mapleton, UT

By submitting your interest, you'll be among the first to know when internship opportunities open ... R&D, marketing, and sales to bring cutting-edge life sciences solutions from ideation to market.

Sales Leader Development Intern

Provo, UT · On-site

$14.25 - $19/hr

This internship is designed to provide exposure to leadership strategy, sales enablement, learning ... Contribute to programs, process improvements, and innovation initiatives related to field ...

Write new recipes with weight, processes, and insights as recipes are being developed. * Cleaning ... An understanding of general food science * Exemplary decorating skills and attention to detail when ...

Write new recipes with weight, processes, and insights as recipes are being developed. * Cleaning ... An understanding of general food science * Exemplary decorating skills and attention to detail when ...

Write new recipes with weight, processes, and insights as recipes are being developed. * Cleaning ... An understanding of general food science * Exemplary decorating skills and attention to detail when ...

Junior Systems Developer

Orem, UT · On-site

$58K - $75K/yr

Required : • Bachelor's degree in Computer Science or a related field (or equivalent work ... Internship or entry‑level experience in software development Preferred : • Exposure to ...

A computer science degree or similar discipline would be very helpful. The Rewards Package: * 33 ... We're also happy to make adjustments to the hiring process to ensure every candidate can ...

A computer science degree or similar discipline would be very helpful. The Rewards Package: * 33 ... We're also happy to make adjustments to the hiring process to ensure every candidate can ...

... and the development of reusable data assets -- all while maintaining high standards for data ... Familiarity with streaming data processing technologies (e.g., Apache Kafka) * Experience applying ...

... development of reusable data assets - all while maintaining high standards for data quality and ... Familiarity with streaming data processing technologies (e.g., Apache Kafka) * Experience applying ...

Junior Systems Developer

Orem, UT

$58K - $75K/yr

Bachelor's degree in Computer Science or a related field (or equivalent work experience) * Strong ... Internship or entrylevel experience in software development Nice to Have * Exposure to ...

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Internship Downstream Process Development Scientist information

See Mapleton, UT salary details

$19

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How much do internship downstream process development scientist jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for internship downstream process development scientist in Mapleton, UT is $36.47, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $43.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Downstream Process Development Scientist, and why are they important?

To thrive as an Internship Downstream Process Development Scientist, you need foundational knowledge in biochemistry, molecular biology, or chemical engineering, often supported by ongoing or recent enrollment in a relevant degree program. Familiarity with laboratory techniques such as chromatography, filtration, and analytical instruments, as well as experience with lab management software, is typically expected. Attention to detail, problem-solving abilities, and effective teamwork are standout soft skills in this role. These skills and qualifications are crucial for conducting reliable experiments, analyzing data, and contributing to the optimization of bioprocesses in a collaborative research environment.

What does an Internship Downstream Process Development Scientist do?

An Internship Downstream Process Development Scientist works in the biopharmaceutical industry, assisting with the development and optimization of processes that purify biological products such as proteins, antibodies, or vaccines after they are produced by cells. Their role often involves supporting laboratory experiments, analyzing samples, and documenting results to improve the efficiency and scalability of downstream processes like filtration and chromatography. Interns in this position gain hands-on experience with cutting-edge technologies and learn about regulatory requirements and industry standards. This role helps prepare students or recent graduates for a career in process development or biomanufacturing.

What types of projects and responsibilities can an Internship Downstream Process Development Scientist expect to work on?

As an Internship Downstream Process Development Scientist, you can expect to be involved in hands-on laboratory work focusing on the purification and characterization of biopharmaceutical products. Typical responsibilities include preparing buffer solutions, operating chromatography and filtration systems, analyzing samples using various analytical techniques, and documenting experimental results. Interns often collaborate with experienced scientists and engineers, contributing to process optimization and troubleshooting. The role provides valuable exposure to industry-standard procedures and the opportunity to develop technical skills in a team-oriented environment.
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What cities near Mapleton, UT are hiring for Internship Downstream Process Development Scientist jobs? Cities near Mapleton, UT with the most Internship Downstream Process Development Scientist job openings:
AI & Process Automation Engineer

AI & Process Automation Engineer

CCBank

Pleasant Grove, UT • On-site

Full-time

Posted 21 days ago


Job description

Summary
Capital Community Bank is seeking a highly motivated AI & Process Automation Engineer to serve as the Bank's first dedicated AI resource. This role is responsible for identifying, designing, building, and deploying AI-driven solutions and lightweight software tools that improve operational efficiency across the organization.
The position will embed directly with business teams, starting in Compliance, then rotating through Operations, Lending, Risk, Finance, and other areas, to discover automation opportunities and deliver measurable results. This role bridges business units, IT, and compliance to ensure AI is implemented responsibly, securely, and effectively.
Key Responsibilities
AI Opportunity Identification & Development
  • Partner with business units across the Bank to identify high-impact problems that can be solved using AI, automation, and intelligent tools.
  • Translate business needs into structured Project Charters that define estimated value, delivery timelines, and measurable success criteria.
  • Design, build, and deploy AI-powered solutions, including process automations, data extraction tools, and workflow optimizations, using both custom code, AI coding tools and existing platforms.
  • Develop lightweight, user-friendly software interfaces that enable non-technical staff to adopt and effectively use deployed solutions.
  • Continuously evaluate and improve deployed solutions based on performance data and user feedback.

AI Governance & Risk Management
  • Maintain an inventory of AI tools, use cases, and data access points across the organization.
  • Ensure all AI implementations comply with internal policies, banking regulations, data privacy requirements, and the Bank's risk management framework.
  • Collaborate with IT, Security, and Compliance to assess risks and approve new AI use cases prior to deployment.
  • Document data flows, system interactions, and AI decision-making processes for audit and regulatory readiness.

Documentation & Process Standardization
  • Create and maintain comprehensive documentation for AI workflows, configurations, and business processes.
  • Develop SOPs, training materials, and user guides for all deployed AI tools.
  • Establish repeatable, scalable processes and frameworks for future AI implementations.

Training & Adoption
  • Provide hands-on training and support to end users on AI tools and best practices.
  • Serve as the Bank's internal subject matter expert on AI, automation, and emerging technology.
  • Drive adoption through education, workshops, and ongoing support; help build an innovation-forward culture.

Performance Tracking & Reporting
  • Define and track KPIs to measure the impact of AI initiatives, including time savings, cost reduction, efficiency gains, and adoption rates.
  • Report on AI usage, adoption, and ROI to senior leadership on a regular cadence.
  • Continuously identify opportunities for improvement, expansion, and new project pipeline development.

Qualifications
Required:
  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field, preferred.
  • Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or similar).
  • Ability to design and build functional, user-facing software applications (web or desktop) with clean, intuitive interfaces.
  • Experience with generative AI tools and APIs (e.g., OpenAI, Anthropic, open-source LLMs).
  • Strong documentation and process design skills.
  • Understanding of data sensitivity, security, and compliance principles.
  • Excellent communication skills with the ability to translate complex technical concepts into clear, business-friendly language.
  • Self-directed work style with the ability to manage multiple projects and stakeholders simultaneously.
  • Must pass a background check, credit check, and drug screen.

Preferred:
  • Experience in banking, financial services, fintech, or other regulated industries.
  • Familiarity with front-end development frameworks (React, Vue, or similar) for building lightweight internal tools.
  • Working knowledge of SQL, databases, and data pipeline design.
  • Understanding of compliance and regulatory technology concepts (BSA/AML, KYC, TILA, UDAAP, FFIEC guidelines).
  • Familiarity with data governance, risk management, or compliance frameworks.
  • Experience deploying solutions in cloud environments (AWS, Azure, or GCP).
  • Experience with workflow automation tools or scripting (Power Automate, Zapier, etc.).

Key Success Metrics
  • Number and quality of AI solutions successfully deployed and adopted.
  • Time and cost savings generated by deployed tools, as documented in Project Charters.
  • AI adoption rates across departments.
  • Compliance adherence, zero data incidents related to AI usage.
  • Documentation completeness and audit readiness.
  • Stakeholder satisfaction with delivered solutions.