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Dry Lab Jobs in Orem, UT (NOW HIRING)

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Dry Lab information

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$11

$19

$29

How much do dry lab jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for dry lab in Orem, UT is $19.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Dry Lab Technician, and why are they important?

To thrive as a Dry Lab Technician, you need a solid background in data analysis, computational modeling, and a relevant degree in fields such as bioinformatics, computer science, or engineering. Expertise in statistical software, programming languages (like Python or R), and familiarity with laboratory information management systems (LIMS) are typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for ensuring accurate data management, insightful analysis, and successful research outcomes in a laboratory setting.

What are some common challenges faced by professionals working in a dry lab environment, and how can they be addressed?

In a dry lab setting, professionals often work with computational models, simulations, and data analysis rather than wet lab experiments. A common challenge is ensuring the accuracy and reliability of simulation results, which requires strong attention to detail and robust validation against experimental or reference data. Additionally, effective collaboration with wet lab teams is essential to interpret findings and guide future research. Staying updated with the latest computational tools and best practices can help address these challenges and support successful project outcomes.

What are dry lab jobs?

Dry lab jobs involve computational and theoretical research, rather than traditional wet lab work with chemicals or biological samples. Professionals in dry labs use computer simulations, data analysis, and mathematical modeling to solve scientific problems in fields like physics, chemistry, or biology. These roles are essential for managing large datasets, predicting outcomes, and developing new hypotheses that can later be tested in wet labs. Common positions in a dry lab include bioinformaticians, computational chemists, and data scientists.

What is the highest-paying lab job?

In laboratory settings, senior roles such as Laboratory Director or Principal Scientist typically have the highest salaries, often exceeding six figures annually. These positions require advanced degrees, extensive experience, and leadership responsibilities, and may involve specialized skills or certifications in fields like biotechnology or pharmaceuticals.

What biology jobs pay over $100k?

In biology-related fields, roles such as biomedical directors, pharmacologists, and biotech research managers often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, specialized skills, and experience in research, management, or regulatory compliance.

What is the difference between Dry Lab vs Wet Lab?

AspectDry LabWet Lab
Work EnvironmentComputer-based, simulation, data analysisPhysical experiments, chemical or biological testing
Required SkillsProgramming, data modeling, computational skillsLaboratory techniques, chemical/biological handling
Common CertificationsNone specific, often advanced degrees in science or engineeringLab safety, technical certifications
Industry UsageResearch, data analysis, computational modelingExperimental research, product development

Dry Lab roles focus on computational work, data analysis, and simulations, often requiring programming skills and advanced degrees. Wet Lab roles involve hands-on experiments and physical testing in laboratory settings. Both are essential in scientific research but differ significantly in environment and skill set.

What is the highest-paying career in a laboratory?

In laboratory settings, senior roles such as Laboratory Directors or Principal Investigators typically have the highest salaries, often exceeding six figures. These positions require advanced degrees, extensive experience, and strong management skills, and they oversee research projects, staff, and budgets.

What do you do in a dry lab?

A dry lab is a research environment where experiments do not involve live organisms or wet chemicals. In a dry lab, tasks often include data analysis, computer modeling, simulations, and software development, requiring skills in programming and familiarity with specialized tools. The role typically involves working with digital data and computational methods rather than physical samples.
What are popular job titles related to Dry Lab jobs in Orem, UT? For Dry Lab jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Dry Lab jobs in Orem, UT look for? The top searched job categories for Dry Lab jobs in Orem, UT are:
What cities near Orem, UT are hiring for Dry Lab jobs? Cities near Orem, UT with the most Dry Lab job openings:
Dry Lab jobs near you

Data Scientist - Applied AI Scientist

Enterprise Technology Operations

Midvale, UT • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.

Zions Bancorporation's Innovation Lab is seeking a creative and driven Data Scientist (Applied AI Scientist) who bridges the gap between rigorous statistical research and production-grade software engineering. This role is at the heart of our innovation engine. You will not only uncover deep data insights and design advanced AI algorithms, but you will also architect the robust, scalable code required to bring those concepts to life.

As a key member of the Innovation Lab, you will work in a fast-paced, experimental environment, turning ambiguous business challenges into tangible, data-driven prototypes. We need a scientist who treats machine learning as an engineering discipline, someone who understands the "why" behind the math, and the "how" of robust software implementation.

Visa Sponsorship:
This Data Scientist position is currently NOT eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.

Responsibilities:

  • End-to-End AI Design: Design, prototype, and validate ML/AI solutions, translating complex business challenges into mathematical formulations and scalable, production-ready code.
  • Advanced Analytics & EDA: Perform deep exploratory data analysis, statistical testing, and data transformations on diverse datasets (structured and unstructured) to uncover predictive signals and validate hypotheses.
  • Production-Grade Science: Architect and implement modular, extensible, and testable Python codebases for AI experiments. Move beyond Jupyter notebooks by applying clean-code principles (SOLID, DRY) for seamless hand-off to ETO Engineering teams.
  • Agentic & Generative AI: Develop and experiment with applied generative AI and multi-agent architectures using orchestration frameworks (e.g., LangChain, LangGraph), focusing on optimal state management, robust RAG pipelines, and efficient system design.
  • Algorithmic Optimization: Optimize model inference, data processing pipelines, and memory footprints for latency and scalability, applying a strong understanding of data structures and algorithmic complexity.
  • Rigorous Evaluation: Build automated evaluation frameworks to benchmark model performance, mitigate hallucinations, track drift, and ensure algorithmic fairness via A/B testing and statistical rigor.
  • Collaboration & Communication: Act as the technical translator between research-focused ideation and engineering execution. Communicate complex statistical findings and system architectures to both technical and non-technical stakeholders.

Qualifications:

  • The Scientist's Mind: Solid foundation in statistics (Bayesian/Frequentist), linear algebra, hypothesis testing, and the internal mechanics of ML algorithms (e.g., how optimizers work, loss functions, attention mechanisms).
  • The Engineer's Toolbelt: Advanced Python proficiency with a strong focus on Object-Oriented Programming (OOP) and modular design. You must be comfortable writing unit tests (e.g., Pytest) for your data pipelines and models.
  • Framework Depth: Deep expertise with ML libraries (PyTorch, TensorFlow, Scikit-learn, Pandas) and experience implementing custom logic, rather than just calling out-of-the-box models.
  • Generative AI Systems: Hands-on experience with NLP, Large Language Models (LLMs), and Vector Databases, with an understanding of how to evaluate and optimize these systems at scale.
  • Software Maturity: Proficiency with Git/version control, containerization (Docker), API development (FastAPI/Flask), and a working knowledge of how models fit into a CI/CD lifecycle (MLOps).
  • Problem Solving: Exceptional problem-solving skills, comfort with ambiguity, and the ability to own the data science lifecycle from abstract ideation to engineered prototype.
  • Education & Experience: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field plus 4+ years of hands-on experience in applied machine learning or data science. A Master's degree or PhD is a plus. A combination of education and experience may meet qualifications.

Location:

This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.

The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:

  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:

  • Medical, Dental and Vision Insurance - START DAY ONE!
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

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