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Biology Data Science Jobs in Minnesota (NOW HIRING)

AP Biology Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Guides students through experimental design, data analysis using chi-square tests, interpreting ... Emphasizes scientific practices and connects molecular biology to ecology, medicine, and ...

IB Biology Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Skilled at teaching experimental design, data analysis, and biological systems analysis for IB ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

IB Biology Tutor

Edina, MN · Remote

$18 - $40/hr

Skilled at teaching experimental design, data analysis, and biological systems analysis for IB ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

IB Biology Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Skilled at teaching experimental design, data analysis, and biological systems analysis for IB ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

AP Biology Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Guides students through experimental design, data analysis using chi-square tests, interpreting ... Emphasizes scientific practices and connects molecular biology to ecology, medicine, and ...

AP Biology Tutor

Edina, MN · Remote

$18 - $40/hr

Guides students through experimental design, data analysis using chi-square tests, interpreting ... Emphasizes scientific practices and connects molecular biology to ecology, medicine, and ...

College Biology Tutor

Edina, MN · Remote

$18 - $40/hr

Guides students through interpreting experimental data, constructing phylogenetic trees, solving ... Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ...

Guides students through interpreting experimental data, constructing phylogenetic trees, solving ... Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ...

Showing results 21-40

Biology Data Science information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do biology data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for biology data science in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a biology data science?

A Biology Data Science job involves applying data analysis, machine learning, and computational techniques to biological data. Professionals in this field work with large datasets from genomics, proteomics, ecology, or clinical studies to extract insights and drive scientific discoveries. They often use programming languages like Python or R, along with statistical and bioinformatics tools, to analyze complex biological systems. These roles exist in academia, pharmaceuticals, biotechnology, and healthcare.

What are the day-to-day responsibilities of a biology data science?

Professionals in Biology Data Science typically spend their days acquiring, cleaning, and analyzing large sets of biological data, such as genomic sequences or clinical trial results. They use coding and statistical methods to uncover patterns, develop predictive models, and generate insights to support scientific discoveries or healthcare decisions. Collaboration is frequent, often requiring close coordination with biologists, clinicians, and software engineers to interpret data and ensure research objectives are met. Additionally, clear and concise reporting of findings, often through visualizations or presentations, is a regular part of the job. This blend of data science and biology offers dynamic workdays that can have a direct impact on advancing scientific knowledge and improving patient outcomes.

What skills and qualifications are needed to thrive as a biology data science?

To excel in Biology Data Science, a strong background in biological sciences paired with expertise in statistical analysis, programming (commonly Python or R), and data interpretation is essential. Familiarity with tools such as bioinformatics platforms, machine learning libraries, and data visualization software, along with relevant certifications in data science or computational biology, is highly valuable. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with multidisciplinary teams and present complex findings clearly. These competencies allow professionals to manage and analyze large biological datasets, driving data-driven discoveries and innovation in research or industry settings.

Can I get into biology data science with a biology degree?

Biology data science roles often accept candidates with a biology degree, especially if they have skills in programming, statistics, and data analysis tools like Python or R. Gaining experience through coursework, projects, or certifications in data science can improve employability in this field.

What do biology data scientists do?

Biology data scientists analyze biological data using statistical methods, machine learning, and programming tools like Python or R. They work on projects such as genomics, drug discovery, and ecological modeling to extract meaningful insights from complex datasets, often collaborating with biologists and researchers.

What are popular job titles related to Biology Data Science jobs in Minnesota?

For Biology Data Science jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Biology Data Science jobs?

Cities in Minnesota with the most Biology Data Science job openings:

Infographic showing various Biology Data Science job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $120,211 per year, or $57.8 per hour.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Duluth, MN • On-site

$125K/yr

Full-time

Posted 11 days ago


Key responsibilities

  • Review and analyze data sources to ensure validity and reliability for data science projects.

  • Clean, transform, and integrate structured and unstructured data from multiple sources to prepare for analysis.

  • Apply data-mining models and statistical methods to analyze data, evaluate results, and support decision-making.


Internal Revenue Service rating

7.3

Company rating: 7.3 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

177th of 299 rated public sector bodies


Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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