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Bioinformatic Analyst Jobs in Minnesota (NOW HIRING)

Oncodea

Molecular Diagnostics Associate

Saint Paul, MN · On-site

Perform introductory bioinformatics and data-science tasks: data inspection, QC dashboards, and reproducible analysis scripts. What You Must Bring * Bachelor's degree in chemistry, biochemistry ...

Mayo Clinic

Senior Data Science Analyst - CSiG

Rochester, MN · On-site

$87K - $110K/yr

The ideal candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, bioinformatics/biostatistics, biological sciences, or other analytical/quantitative ...

Mayo Clinic

Senior Data Science Analyst - CSiG

Rochester, MN · On-site

$87K - $110K/yr

The ideal candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, bioinformatics/biostatistics, biological sciences, or other analytical/quantitative ...

Mayo Clinic

Senior Data Science Analyst - CSiG

Rochester, MN · On-site

$87K - $110K/yr

The ideal candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, bioinformatics/biostatistics, biological sciences, or other analytical/quantitative ...

Mayo Clinic

Senior Data Science Analyst - CSiG

Rochester, MN · On-site

$87K - $110K/yr

The ideal candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, bioinformatics/biostatistics, biological sciences, or other analytical/quantitative ...

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All JobsBioinformatic Analyst JobsBioinformatic Analyst Jobs in Minnesota

Bioinformatic Analyst information

See Minnesota salary details

$30.4K

$71.8K

$127.3K

How much do bioinformatic analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for bioinformatic analyst in Minnesota is $71,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $85,200.00 per year, depending on experience, location, and employer.

What is the average salary for a bioinformatic analyst?

The average salary for a bioinformatic analyst typically ranges from $70,000 to $100,000 annually, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like R or Python tend to earn higher salaries.

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

To thrive as a Bioinformatic Analyst, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with next-generation sequencing (NGS) data analysis tools, and familiarity with databases such as GenBank are typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for extracting meaningful insights from biological data and advancing research or clinical objectives.

What are some common challenges a bioinformatic analyst faces when working with large-scale genomic data?

One of the primary challenges for Bioinformatic Analysts is managing and analyzing massive datasets generated by next-generation sequencing technologies. Ensuring data quality, handling data storage, and optimizing computational resources are critical aspects of the role. Analysts must also develop or adapt pipelines to process complex data efficiently and accurately, often collaborating closely with biologists, statisticians, and IT specialists. Staying updated on rapidly evolving tools and best practices is essential to ensure high-quality, reproducible results.

Is bioinformatics well paying?

Bioinformatic analysts typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like R or Python can enhance earning potential.

What does a bioinformatic analyst do?

A Bioinformatic Analyst uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work closely with researchers and scientists to interpret complex datasets, identify patterns, and draw meaningful conclusions that can advance scientific understanding or medical research. Their responsibilities may include processing raw data, developing algorithms, and creating visualizations to present results. Bioinformatic Analysts often work in fields like genomics, pharmaceuticals, and biotechnology.

What are popular job titles related to Bioinformatic Analyst jobs in Minnesota?

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

What job categories do people searching Bioinformatic Analyst jobs in Minnesota look for?

The top searched job categories for Bioinformatic Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Bioinformatic Analyst jobs?

Cities in Minnesota with the most Bioinformatic Analyst job openings:

Bioinformatic Analyst jobs near you
Infographic showing various Bioinformatic Analyst job openings in Minnesota as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $71,753 per year, or $34.5 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Minneapolis, MN • Remote

$80 - $110/hr

Part-time

Posted 12 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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