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Data Science Jobs in Rice, MN (NOW HIRING)

CentraCare

RTLS Engineer

Saint Cloud, MN · On-site

$80K - $121K/yr

... data integrity across applications. * Workflow Integration: Collaborate with clinical teams to ... Bachelor's degree in computer science or related field; equivalent work experience in computer ...

CentraCare

RTLS Engineer

Saint Cloud, MN

$80K - $121K/yr

... data integrity across applications. * Workflow Integration: Collaborate with clinical teams to ... Bachelor's degree in computer science or related field; equivalent work experience in computer ...

CentraCare Health

RTLS Engineer

Saint Cloud, MN

$80K - $121K/yr

... data integrity across applications. * Workflow Integration: Collaborate with clinical teams to ... Bachelor's degree in computer science or related field; equivalent work experience in computer ...

Jefferson Capital Systems

Process Analyst

Sartell, MN · On-site

$45K - $65K/yr

College degree in field related to data analysis or computer science or equivalent related experience. * 1 - 3 years of related experience in an analytic position desired (not required). Required ...

Jefferson Capital Systems

Process Analyst

Sartell, MN · On-site

$45K - $65K/yr

College degree in field related to data analysis or computer science or equivalent related experience. * 1 - 3 years of related experience in an analytic position desired (not required). Required ...

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Data Science information

See Rice, MN salary details

$37.1K

$121.4K

$194.4K

How much do data science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data science in Rice, MN is $121,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
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Research and Development Associate - Genomics

Microbiologics

Saint Cloud, MN

$65K/yr

Full-time

Posted 4 days ago

Microbiologics rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

50th of 103 rated laboratories

Job description

Job Title: Research and Development Associate - Genomics

Company Name: Microbiologics, Inc.

Job Location: St. Cloud, MN

Job Description:

Responsible for leading, performing, and reporting on experiments using microbiology, molecular, and genomics techniques as well as other applicable methodologies leading to new products, services, or process improvements.

Specific duties include:

Leads projects for the development, manufacturing, quality control (QC) of new processes, microbiology/molecular products, or cell-based biomaterials and transfers necessary details to other functional units (Production/QC) as needed.

Based on group designation, perform microbiology, virology, and cell culture techniques including but not limited to microbial/viral culture, enumeration/titration, isolation, and identification using traditional and rapid methods.

Performs molecular biology techniques including but not limited to PCR, gel electrophoresis, nucleic acid quantitation, cloning, nucleic acid isolation, bacterial transformation, and transfection.

Performs genomics techniques including but not limited to next-generation sequencing (NGS) library preparation, library QC, NGS instrument operation, and data analysis.

Designs experiments, plans, assists, and trains others in manufacturing test lots for R&D functions according to the appropriate DMR, policies, and procedures.

Compiles data and presents results, analysis, and recommendations for new products and processes.

Documents research to support new product design controls, validations, verification, qualification, and specification/performance and statistical analysis as they apply to the company's products and according to policies and procedures.

Leads projects for the development and production of products for customer requests or service contract projects.

Communicates with customers regarding results and custom specifications.

Writes, reviews, and trains others on new department SOPs/update existing department SOPs.

Collaborates, supports, and communicates on a regular basis with project teams and members of other functional areas.

Makes detailed observations, summarizes, and analyzes data and interprets results to provide solutions to technical problems in a resourceful and creative way.

Actively acquires new lab skills and specialized knowledge. May serve as a subject matter expert on methods, techniques, or diagnostic platforms within the R&D department.

Maintains an understanding of regulations and scientific methods used in molecular, microbial or virological detection and product/biomaterial development, recognizing critical characteristics of Microbiologics products.

Job Requirements:

Requires Bachelor's degree in Molecular and Cell Biology, Biotechnology, Microbiology, Genetics/Genomics, or related field, plus two years of experience.

Experience must include:

Experience in next-generation sequencing methods including library preparation, quality control, data analysis, and instrument operation.

Experience with basic molecular biology techniques (cloning, PCR, primer design, etc.).

Experience with aseptic technique, basic chemistry techniques and formulations.

Experience working with various public databases for retrieving publications or nucleotide sequences.

Experience working with automated laboratory equipment and multiple commercial assays and platforms.

Occasional remote work is allowed.

Salary: $65,490.90

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