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Internship Biological Data Analyst Jobs in Colorado

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 ...

Siemens

$22 - $24/hr

... or Data Analyst for Siemens. What is the FLDP Internship: The Finance Internship is a 12-week ... summer internship program that allows the opportunity to experience the day-to-day functions of a ...

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Internship Biological Data Analyst information

What does an internship biological data analyst do?

An Internship Biological Data Analyst assists in collecting, organizing, and analyzing biological data, often using statistical and computational tools. Interns typically work under the guidance of senior analysts or researchers, supporting projects such as genomics, ecology, or clinical studies. Their responsibilities may include cleaning datasets, performing basic analyses, creating visualizations, and interpreting results to help answer scientific questions. This role provides valuable experience in data science and biology, and helps interns develop technical and analytical skills relevant to the field.

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

To thrive as an Internship Biological Data Analyst, you need a solid understanding of biology, statistics, and data analysis, typically supported by coursework or a degree in bioinformatics, biology, or a related field. Familiarity with data analysis tools like R, Python, and experience with bioinformatics databases and platforms is strongly preferred. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and collaborate with research teams. These skills and qualities are crucial for accurately analyzing biological datasets and contributing meaningful insights to scientific projects.

What types of projects can an internship biological data analyst expect to work on, and how are tasks typically assigned within the team?

As an Internship Biological Data Analyst, you can expect to work on projects involving the analysis and interpretation of biological datasets, such as genomic, proteomic, or clinical data. Tasks are often assigned based on current research priorities and your background, with interns commonly supporting senior analysts by cleaning data, running statistical analyses, and visualizing results. You will collaborate closely with other analysts, biologists, and sometimes software engineers, gaining exposure to interdisciplinary teamwork. Regular meetings and check-ins help ensure you understand your responsibilities and provide opportunities for mentorship and feedback.

How to become an Internship Biological Data Analyst?

To become an internship biological data analyst, candidates typically need a bachelor's degree in biology, bioinformatics, data science, or a related field. Developing skills in data analysis tools such as R or Python, understanding biological datasets, and gaining experience through coursework or projects are important. Internships often require strong analytical skills, attention to detail, and familiarity with biological research environments.

What type of internship can I get for internship biological data analyst?

Internships for biological data analysts typically include research assistant positions, data analysis internships, or laboratory-based roles in academic, government, or private sector organizations. These internships often require skills in data management, statistical software, and biological sciences, and may be offered as summer or semester programs to students or recent graduates.

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

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

Internship Biological Data Analyst jobs near you

Data Analyst

Boulder, CO • On-site

Alta Resource Technologies, Inc.
See more jobs at Alta Resource Technologies, Inc.external

$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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