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Scientific Analyst Jobs in Colorado (NOW HIRING)

Xcimer Energy

Senior Scientific Software Engineer

Denver, CO · On-site

$168K - $198K/yr

As a Senior Scientific Software Engineer , you lead the design and development of software systems ... Data Pipelines & Analysis * Design and support data processing pipelines, including large-scale and ...

New

NuView Analytics

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

CACI

Data Scientist

Colorado Springs, CO · On-site

Responsibilities Analyze large, complex, and diverse datasets to establish baselines, identify patterns and trends, develop indicators, and support operational decision-making. Develop and automate ...

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate ...

Apogee Engineering, LLC

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate ...

1872 Consulting

Senior Data Scientist

Boulder, CO · On-site

The role involves working with clients, mentoring junior data scientists, and showcasing the value of predictive analytics through various analyses and modeling efforts. Responsibilities : • ...

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

1872 Consulting

Senior Data Scientist

Boulder, CO · On-site

Senior Data Scientist BOULER, CO DATA & ANALYTICS FULL-TIME As a Senior Data Scientist, you'll bring advanced level experience in data modeling to apply to the Insights Platform and Data Science ...

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Showing results 21-40

All JobsScientific Analyst JobsScientific Analyst Jobs in Colorado

Scientific Analyst information

See Colorado salary details

$30.1K

$82.1K

$149.2K

How much do scientific analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for scientific analyst in Colorado is $82,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,538.00 and $107,312.00 per year, depending on experience, location, and employer.

What is a scientific analyst?

A Scientific Analyst is a professional who collects, processes, and interprets scientific data to support research, policy-making, or business decisions. They often work with large datasets, employ statistical and computational methods, and translate complex scientific results into actionable insights. Scientific Analysts may work in various industries, including pharmaceuticals, environmental science, healthcare, and technology. Their work helps organizations make informed decisions based on evidence and scientific reasoning.

What are the key skills and qualifications needed to thrive as a scientific analyst?

To thrive as a Scientific Analyst, you need a strong background in data analysis, scientific research methods, and a relevant degree in a scientific field such as biology, chemistry, or physics. Familiarity with statistical software (e.g., R, Python, SAS), laboratory information management systems (LIMS), and data visualization tools is typically required. Critical thinking, attention to detail, and effective written and verbal communication skills help distinguish top performers in this role. These abilities are vital for accurately interpreting complex data, presenting findings clearly, and supporting sound scientific decision-making.

How does a scientific analyst typically collaborate with cross-functional teams in an organization?

Scientific Analysts often work closely with researchers, data scientists, and project managers to interpret complex datasets and generate actionable insights. They may participate in regular meetings to present findings, discuss methodologies, and ensure alignment with project goals. Collaboration is key, as Scientific Analysts often bridge the gap between technical data analysis and practical applications, ensuring that scientific results are clearly communicated to both technical and non-technical stakeholders. This collaborative environment fosters diverse perspectives and contributes to more robust scientific outcomes.

What is the difference between Scientific Analyst vs Data Analyst?

AspectScientific AnalystData Analyst
Required CredentialsBachelor's or higher in science, engineering, or related fields; often some technical certificationsBachelor's in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLaboratories, research facilities, or technical settingsOffices, data centers, or remote work environments
Employer & Industry UsageResearch institutions, government agencies, biotech, pharmaceuticalsBusiness, finance, marketing, healthcare sectors

Scientific Analysts focus on experimental data, research, and technical analysis within scientific settings. Data Analysts interpret large datasets to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, Scientific Analysts are more research-oriented, whereas Data Analysts emphasize data interpretation for strategic insights.

What are popular job titles related to Scientific Analyst jobs in Colorado?

For Scientific Analyst jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Scientific Analyst jobs in Colorado look for?

The top searched job categories for Scientific Analyst jobs in Colorado are:

What cities in Colorado are hiring for Scientific Analyst jobs?

Cities in Colorado with the most Scientific Analyst job openings:

Scientific Analyst jobs near you
Infographic showing various Scientific Analyst job openings in Colorado as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,059 per year, or $39.5 per hour.

Senior Scientific Software Engineer

Xcimer Energy

Denver, CO • On-site

$168K - $198K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Key responsibilities

  • Lead the design, development, and maintenance of Python-based software systems for data analysis, visualization, and internal workflows.

  • Collaborate with researchers and engineers to translate experimental and modeling requirements into scalable software solutions, and support data processing pipelines and machine learning systems.

  • Provide technical leadership by mentoring engineers, setting technical direction, and ensuring best practices for testing, documentation, and deployment in containerized environments.

Job description

Xcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion! 

This is a full-time, onsite role based at our headquarters in Denver, CO.

As a Senior Scientific Software Engineer, you lead the design and development of software systems that support scientific analysis, visualization, machine learning, and internal applications. You will be part of a high-performing software team working closely with simulation and experimental groups to turn data, models, and control systems into reliable, scalable tools that accelerate R&D.

This is a senior, hands-on role with ownership over technical direction and system architecture. A physics background is not required, but you should be comfortable operating in data-driven, research-oriented environments and translating evolving requirements into production-quality software. We are looking for our engineers and scientists to apply their technical expertise, problem solving skills, and dedication to quality to positively impact the future of energy!

Responsibilities

Software Architecture & Design

  • Architect, develop, and maintain Python-based systems for data analysis, visualization, and internal workflows.
  • Lead technical design from early research prototypes through production deployment.
  • Partner with researchers and engineers to translate experimental and modeling requirements into scalable software solutions.
  • Establish best practices for testing, documentation, CI/CD, and deployment in containerized environments.

Data Pipelines & Analysis

  • Design and support data processing pipelines, including large-scale and streaming datasets.
  • Build interactive, multi-user tools for exploratory data analysis and visualization.
  • Contribute to machine learning systems, including model integration, training pipelines, and support for real-time or adaptive control workflows.

Performance & Integration

  • Integrate Python applications with high-performance computing (HPC) or legacy codes (C++/Fortran) and distributed compute systems.
  • Optimize performance-critical components using parallel, GPU-accelerated, or distributed computing techniques as appropriate.

Technical Leadership

  • Mentor engineers and provide technical leadership across projects.
  • Serve as a senior member of the software team, setting direction and raising the bar for technical quality.
Qualification
  • Education: Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, or related field; advanced degree preferred.
  • Experience: 7+ years of professional software development experience in technical, data-intensive, or research-driven environments.
  • Expert-level Python skills and strong experience with numerical and data libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn).
  • Demonstrated ability to design and own complex software systems under ambiguous or evolving requirements.
  • Experience collaborating closely with non-software domain experts and supporting experimental or simulation workflows.
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Desired
  • Experience working with 3D geometry or CAD data (STEP, IGES, STL, BREP) and related libraries (OpenCASCADE, VTK, PyVista).
  • Familiarity with structured scientific data formats (HDF5, NetCDF, VTK, custom binary formats).
  • Experience interfacing Python with C/C++ or Fortran (pybind11, Cython, f2py, nanobind).
  • Strong background in parallel, GPU, or distributed computing (MPI, CUDA, OpenACC).
  • Experience with machine learning systems in production environments.
  • Background supporting real-time systems, feedback loops, or adaptive control applications.
  • Experience with containerization and orchestration (Docker, Apptainer, Kubernetes) as well as HPC environments and job schedulers (SLURM).
Candidates may be considered for other positions at Xcimer Energy, and our actual base salary will be determined on an individual basis and may vary based on job-related knowledge and skills, education, and experience. The range is published in accordance with Colorado Equal Pay for Equal Work Act and California Equal Pay Act.
Equal Employment Opportunity
Xcimer Energy is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Xcimer Energy hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Xcimer Energy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. For more information on “EEO Is the Law,” please see here and here.
 
Benefits
Xcimer offers a comprehensive benefits package designed to support employee health, well-being, and long-term success. Benefits include medical, dental, and vision coverage; basic and supplemental life insurance; short- and long-term disability; paid parental leave for employees at the time of birth or adoption; and a 401(k) with a company match of up to 6%. Eligible employees also receive equity, allowing them to share in the company’s long-term success.
Xcimer operates under a flexible Paid Time Off (ATO) approach. Rather than a fixed number of vacation days, employees are trusted to take the time they need to rest and recharge while meeting the expectations of their role and team. In addition, employees receive paid sick time, 13 company-paid holidays, and an annual paid company shutdown. Benefits are available to regular employees, including part-time and fixed-term roles, as well as interns, with eligibility varying by benefit.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.