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Bioinformatic Data Analyst Jobs (NOW HIRING)

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

Bachelor's or Master's in Statistics, Biostatistics, Chemical Engineering, Bioinformatics ... Experience analyzing spectroscopy and spectrometry data. * Experience with common biological assays ...

Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based ...

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members • Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics ...

Bioinformatics Analyst

Palo Alto, CA · On-site

$65K - $90K/yr

Bioinformatics Analysts Centrillion Technologies develops advanced DNA Chips which have a wide ... You will perform data analysis and benchmark analytical algorithms, tools and pipelines ...

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Bioinformatic Data Analyst information

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$34K

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How much do bioinformatic data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for bioinformatic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a bioinformatic data analyst?

Bioinformatic Data Analysts are professionals who use computational tools, statistics, and programming to analyze and interpret biological data, such as genomic sequences or protein structures. They play a key role in processing and making sense of large sets of data generated by experiments in fields like genomics, proteomics, and transcriptomics. Their analyses help scientists and researchers draw meaningful conclusions that advance our understanding of biology and support developments in healthcare, agriculture, and biotechnology.

What skills and qualifications are needed to be a bioinformatic data analyst?

To thrive as a Bioinformatic Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid background in biology, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of data visualization platforms are commonly required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and the ability to effectively support research and decision-making in life sciences.

What challenges do bioinformatic data analysts face when working with large-scale biological datasets?

Bioinformatic Data Analysts often encounter challenges related to data quality, such as incomplete or inconsistent datasets, which can impact analysis accuracy. Managing and processing large-scale datasets requires proficiency with high-performance computing tools and strong data management skills to ensure reproducibility. Additionally, analysts must frequently collaborate with biologists and clinicians to interpret results, requiring clear communication to bridge the gap between computational findings and biological insights.

What is the difference between Bioinformatic Data Analyst vs Bioinformatics Scientist?

AspectBioinformatic Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience with data analysis toolsMaster's or PhD in Bioinformatics, Computational Biology, or related; advanced research experience
Work EnvironmentResearch labs, healthcare, biotech companies; focus on data processing and reportingAcademic or industry research; developing algorithms and new methodologies
Employer & Industry UsageBiotech firms, healthcare providers, research institutionsUniversities, research institutes, biotech R&D divisions

The main difference is that Bioinformatic Data Analysts primarily handle data processing, analysis, and reporting, often with a focus on applied projects. Bioinformatics Scientists typically engage in developing new algorithms, conducting research, and advancing computational methods. Both roles require strong bioinformatics skills, but the Scientist role usually involves more research and innovation.

What are popular job titles related to Bioinformatic Data Analyst jobs?

For Bioinformatic Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Bioinformatic Data Analyst job openings in the United States as of September 2026, with employment types broken down into 65% Full Time, 14% Part Time, and 21% Contract. Highlights an 64% In-person, 7% Hybrid, and 29% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Boulder, CO • On-site

$100K - $150K/yr

Other

Medical, Dental, Vision, Retirement

Posted 23 days ago


Key responsibilities

  • Perform ad hoc statistical analysis on experimental data using frequentist and Bayesian methods as appropriate.

  • Develop and implement analysis pipelines to ensure reproducible and rigorous results.

  • Create dashboards for real-time monitoring of laboratory processes and data results.


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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