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Biological Data Analyst Jobs in Colorado (NOW HIRING)

Alta Resource Technologies, Inc.

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

Partner with technical and project leads across process engineering, chemistry, biology, and ... Experience analyzing spectroscopy and spectrometry data. * Experience with common biological assays ...

Stanford Climate Ventures

Data Analyst

Boulder, CO · On-site

$100 - $150/hr

Partner with technical and project leads across process engineering, chemistry, biology, and ... Experience analyzing spectroscopy and spectrometry data. * Experience with common biological assays ...

Cymertek

Data Scientist

Aurora, CO · On-site

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Biology, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...

Cogent Scientific

Pharma Cell Biologist

Louisville, CO · On-site

$95K - $105K/yr

Applying biochemical and molecular biology assays (e.g., binding assays, protein-protein ... Proficiency in data analysis software (such as GraphPad Prism, ImageJ). * Excellent communication ...

Amgen

Sr. Data Scientist - Process Modeling

Denver, CO · On-site

In this vital role you will join the Digital Process and Systems Analysis group within Process ... This position is part of a team advancing biologics drug-substance modeling and the digitization of ...

New

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

$100 - $160/hr

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Biology, etc. ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional ...

iNovex Information Systems

Data Scientist 2

Aurora, CO · On-site

$120K - $140K/yr

Job Brief Data Science, Jupyter, Analytics We're searching fortalented individuals who provide ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

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All JobsBiological Data Analyst JobsBiological Data Analyst Jobs in Colorado

Biological Data Analyst information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do biological data analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for biological data analyst in Colorado is $86,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

What does a biological data analyst do?

A Biological Data Analyst collects, processes, and interprets biological data using statistical and computational techniques. They work with large datasets from sources like genomics, clinical trials, or ecological studies to identify patterns and insights. Their role often involves programming, data visualization, and collaborating with scientists to support research and decision-making. Biological Data Analysts are commonly employed in biotechnology, healthcare, pharmaceuticals, and environmental science.

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

A Biological Data Analyst should possess strong analytical skills in biology, statistics, and data science, often supported by a degree in bioinformatics, biology, or a related field. Experience with data analysis tools such as Python, R, SQL, and familiarity with bioinformatics databases and software are highly valued, and relevant certifications can further demonstrate expertise. Excellent attention to detail, problem-solving ability, and effective communication skills are important soft skills in this role. Together, these skills ensure accurate interpretation of biological data and facilitate collaboration across multidisciplinary scientific teams.

What are the most commonly searched types of Biological Data Analyst jobs in Colorado?

The most popular types of Biological Data Analyst jobs in Colorado are:

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

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

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

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

What cities in Colorado are hiring for Biological Data Analyst jobs?

Cities in Colorado with the most Biological Data Analyst job openings:

Biological Data Analyst jobs near you
Infographic showing various Biological Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.

Data Analyst

Alta Resource Technologies, Inc.

Boulder, CO • On-site

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago

Job description

About Alta
Alta Resource Technologies (Alta) is a next generation mining company that uses synthetic biology to separate critical minerals from conventional and unconventional resources, including e-waste. Founded in 2023, the company is expanding its team in Boulder, CO. The exponential growth of new tech industries, as well as the information technology sector, are driving historic growth in mineral demand and stressing existing supply streams. Meeting new demand, diversifying the supply chain, and producing minerals in a more sustainable manner requires the rapid development, deployment and scaling of new technologies. This mineral challenge represents a historic opportunity for technology development and value creation. Alta is proud to be at the vanguard of this mega trend.
Role Summary
We are seeking a Data Analyst with experience handling diverse scientific datasets. The person in this position will be tasked with performing ad hoc analysis and developing pipelines to securely store raw data, catalog this data and prepare it for downstream analysis. A successful candidate will establish real time monitoring of laboratory systems and accelerate product development by facilitating data integrity and real time analysis and dashboards for a variety of data types. This position will report to the VP Data and Information Systems.
Key Responsibilities
  • Experimental Design and Planning: Collaborate with technical teams to ensure statistical rigor by supporting randomized experimental design and evaluating assay performance through power analysis.
  • Robust Statistical Analysis: Perform ad hoc statistical analysis on novel experiments, applying frequentist methods (ANOVA, regression, GLM) as the standard approach, with Bayesian methods where appropriate (e.g., small samples, sequential designs, incorporating prior data).
  • Develop Analytical Pipelines: Develop standard analysis pipelines to ensure rigorous, reproducible results as projects advance.
  • Develop Data Dashboards: Develop dashboards that allow key stakeholders to monitor processes and results in real time.
  • System Integration: Develop processes to ensure data management is integrated with other support systems (LIMS, JIRA, etc)
  • Cross-Functional Collaboration: Partner with technical and project leads across process engineering, chemistry, biology, and biotech to ensure data and data reports are available to the appropriate stakeholders.
  • Documentation & Testing: Ensure all data packages and pipelines are documented and tested.

Required Qualifications
  • Experience level:
    • Bachelor's or Master's in Statistics, Biostatistics, Chemical Engineering, Bioinformatics, Cheminformatics, or related fields with 5-8 years of experience, or a PhD with 3-5 years of experience.
  • Strong grounding in frequentist statistics (DOE, ANOVA, regression); familiarity with Bayesian methods a plus.
  • Understanding and experience with Design of Experiment (DOE) approaches.
  • Proficiency with Python.
  • Proficiency with workflow management tools such as Nextflow or Snakemake.
  • Understanding of version control and experience with version control systems such as git.
  • Experience with dashboard development tools such as Dash or Streamlit.
  • Please note: Applicants must be authorized to work for ANY employer in the U.S.

Preferred, But Not Required
  • Experience with process engineering.
  • Experience with common cloud providers (AWS/Azure).
  • Experience analyzing spectroscopy and spectrometry data.
  • Experience with common biological assays, including fluorometric assays, protein quantification, or gel electrophoresis.
  • Experience with shell scripting (Bash, Zsh, etc).
  • Experience with FAIR data principles.

What We Offer
  • The opportunity to lead a breakthrough program redefining U.S. supply chain resilience in critical materials.
  • A mission-driven, high-trust team operating at the intersection of innovation, national security, and sustainability.
  • High Impact & Visibility: Direct interaction and reporting to executive leadership.
  • Competitive compensation and benefits package.
    • The starting annual salary range for this position is $100,000 to $150,000 commensurate with educational background and work experience.
    • Benefits include:
      • 401(K)
      • Medical, Dental, Vision plans (or equivalent)
      • Flexible Time Off
      • Paid Parental Leave
      • Paid Sick Leave
      • Company Holidays

EOE
Alta Resource Technologies is an equal opportunity employer committed to building a workforce that reflects the diversity of the communities we serve. We believe that varied perspectives, experiences, and backgrounds strengthen our team and drive better outcomes for our clients and partners.
We welcome and encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. Our hiring decisions are based solely on qualifications, merit, and the needs of the business. Alta participates in e-Verify for all positions.
If you require accommodations at any point in the hiring process, please let your recruiter know.
For information about Alta's privacy practices, see our Privacy Policy.

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