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Remote Lab Data Analyst Jobs in Shakopee, MN (NOW HIRING)

Third Iron

AI-Native Metadata Librarian

Minneapolis, MN · Remote

$85K - $105K/yr

Remote, US-Based Application Close Date: Monday August 10 @ 5 PM CST. Salary Range: $85,000-$105 ... Working at the intersection of librarianship, cataloging, data analysis, and emerging technology ...

InstantServe LLC

Data Architect

Saint Paul, MN · On-site +1

$64.50 - $82.75/hr

Data Architect Location: Remote/Hybrid - St. Paul, MN Duration: Long-Term Contract Key ... Azure Monitor, SQL Analytics, and Query Performance Insight. * Experience supporting government or ...

Artius Solutions

Financial Analyst

Minnetonka, MN · Remote

Remote role and can live in any of the approved states as this role might convert perm: Alaska ... Advanced Excel skills, including pivot tables for presenting and organizing data * Comfortable ...

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Remote Lab Data Analyst information

See Shakopee, MN salary details

$11

$29

$51

How much do remote lab data analyst jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote lab data analyst in Shakopee, MN is $29.38, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $34.95 per hour, depending on experience, location, and employer.

How does a remote lab data analyst typically collaborate with on-site laboratory staff and other remote team members?

A Remote Lab Data Analyst frequently communicates with on-site lab personnel and other remote colleagues through video meetings, collaborative platforms, and shared data systems. This close collaboration ensures data accuracy, timely reporting, and proper interpretation of lab results. Analysts often attend virtual team meetings to discuss findings, address challenges, and align on project goals. Effective communication and strong organizational skills are essential to bridge the gap between remote and in-person teams, making regular updates and clear documentation a key part of the role.

What are the key skills and qualifications needed to thrive as a remote lab data analyst?

To thrive as a Remote Lab Data Analyst, you need a strong background in statistics, data analysis, and laboratory science, often supported by a degree in a related field. Familiarity with data analysis tools like Excel, Python, R, and Laboratory Information Management Systems (LIMS) is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and share findings with remote teams. These skills ensure accurate data interpretation, reliable reporting, and seamless collaboration across distributed laboratory environments.

What is the difference between Remote Lab Data Analyst vs Remote Laboratory Technician?

AspectRemote Lab Data AnalystRemote Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certifications in data analysisAssociate's or Bachelor's in Laboratory Science or related field; technical certifications
Work EnvironmentPrimarily remote, analyzing digital data setsRemote or on-site, performing sample processing and testing
Industry UsageHealthcare, biotech, research institutionsClinical labs, research facilities, hospitals
Job FocusData analysis, reporting, data managementSample handling, testing, equipment operation

The Remote Lab Data Analyst and Remote Laboratory Technician roles share some overlap in scientific knowledge and industry context. However, the analyst focuses on interpreting data remotely, requiring strong analytical skills and data certifications, while the technician handles laboratory procedures and sample processing, often requiring technical lab certifications. Both roles are vital in research and healthcare sectors but differ in daily tasks and skill sets.

What is a remote lab data analyst?

A Remote Lab Data Analyst is a professional who collects, processes, and interprets laboratory data from a remote location. They use specialized software and analytical tools to ensure data accuracy and integrity, often working with scientific, medical, or industrial laboratories. Their role may include data validation, report generation, and collaboration with laboratory staff to improve data quality and support research or quality control objectives. Remote Lab Data Analysts typically require strong analytical skills, attention to detail, and proficiency with data management systems.
What are popular job titles related to Remote Lab Data Analyst jobs in Shakopee, MN? For Remote Lab Data Analyst jobs in Shakopee, MN, the most frequently searched job titles are:
What cities near Shakopee, MN are hiring for Remote Lab Data Analyst jobs? Cities near Shakopee, MN with the most Remote Lab Data Analyst job openings:
Remote Lab Data Analyst jobs near you

AI-Native Metadata Librarian

Third Iron

Minneapolis, MN • Remote

$85K - $105K/yr

Full-time

Medical, Dental, PTO

Posted 4 days ago

Job description

AI-Native Metadata LibrarianCompany: Third Iron, LLC
Position type: Full-time
Location: Remote, US-Based
Application Close Date: Monday August 10 @ 5 PM CST.
Salary Range: $85,000-$105,000 + Benefits 
 About the RoleDo you enjoy digging into complex bibliographic data, tracking down inconsistencies, and finding better ways to organize information at scale? Are you the person your colleagues turn to when metadata does not behave as expected—or when a large dataset needs to be understood, cleaned, or transformed? Do you enjoy using Excel, SQL, and AI tools to answer questions and develop more efficient workflows? If so, we would love to talk with you about joining Third Iron as an AI-Native Metadata Librarian.
Since our remote-first company's founding in 2011, Third Iron has created the industry-leading software services BrowZine and LibKey. Our users include millions of students, faculty, doctors, researchers, and scientists affiliated with more than 2,000 libraries at universities, hospitals, corporations, and government departments across 36 countries—including organizations such as Stanford University, Mayo Clinic, NHS England, and the University of Hong Kong.
In this role, you will help improve and evolve the bibliographic data that powers Third Iron's systems and services. Working at the intersection of librarianship, cataloging, data analysis, and emerging technology, you will explore large-scale bibliographic databases, investigate complex metadata issues, and translate your findings into practical improvements for our products, processes, and users. You will use Excel, SQL, and AI-assisted tools while collaborating with technical and product teams to strengthen metadata quality, coverage, matching, and interoperability.
Salary range for this position is $85-$105K USD + benefits.
 Responsibilities
  • Analyze, clean, reconcile, and enrich large-scale bibliographic and holdings datasets.
  • Investigate metadata quality, duplication, normalization, matching, and entity-resolution issues.
  • Use Excel, SQL, AI tools, and other data-analysis methods to identify patterns, exceptions, and opportunities for improvement.
  • Help design and refine metadata rules, mappings, validation processes, and automated workflows.
  • Evaluate bibliographic data from publishers, aggregators, libraries, and other external sources.
  • Support the evolution of Third Iron's metadata architecture, discovery capabilities, and knowledge-base systems.
  • Develop repeatable methods for assessing metadata completeness, accuracy, consistency, and timeliness.
  • Document data sources, standards, workflows, decisions, and quality-control procedures.
  • Use AI-assisted approaches thoughtfully while validating results and maintaining appropriate standards for accuracy, privacy, and responsible use.
Required Qualifications
  • At least 2 years of professional work experience in libraries, data science, metadata analysis or similar role.
  • Master's degree in library and information science, a related field, or equivalent professional experience.
  • Professional experience working with bibliographic metadata, library systems, discovery services, knowledge bases, or scholarly information.
  • Strong working knowledge of Excel, including functions, filters, lookups, data transformation, and analysis of large datasets.
  • High degree of comfort using AI tools for research, analysis, vibe coding mini apps, workflow development, and problem-solving.
  • Familiarity with bibliographic identifiers and metadata standards such as DOI, ISSN, ISBN, MARC, KBART, Dublin Core, or related formats.
  • Strong analytical skills and the persistence to investigate ambiguous or incomplete data.
  • Ability to explain metadata and data-quality issues clearly to both technical and nontechnical colleagues.
  • Excellent written communication, documentation, and remote-collaboration skills.
  • Experience with APIs, JSON, XML, regular expressions, scripting, or data-transformation tools.
  • Comfortable with reviewing metadata samples and designing tools to analyze data mechanically with AI.
  • Ability to work independently, manage priorities, and contribute effectively within a distributed team.
Preferred Qualifications
  • Experience writing SQL queries to explore, join, validate, and analyze data.
  • Familiarity with metadata supplied by publishers, content aggregators, link resolvers, or library vendors.
  • Knowledge of entity resolution, record matching, deduplication, authority control, or identifier reconciliation.
  • Familiarity with scholarly communication infrastructure and data sources such as Crossref, PubMed, OpenAlex, ORCID, or library knowledge bases.
  • Experience evaluating or developing AI-assisted metadata workflows.
  • Experience collaborating with software engineers, product managers, or data teams.
  • 1+ year of success working in a remote position.
What “AI-Native” Means at Third IronWe are looking for someone who treats AI as a practical part of modern knowledge work. An AI-native candidate is eager to experiment, understands how to formulate and refine effective prompts, can use AI to accelerate analysis and technical work, and knows when human judgment and verification are essential. A strong candidate will have demonstrated direct experience applying AI to metadata or data-quality challenges.
 What Success Looks LikeIn this role, you will help Third Iron:
  • Improve the accuracy, consistency, and coverage of its bibliographic data.
  • Identify systemic metadata issues that cannot be solved through one-record-at-a-time cataloging.
  • Develop scalable, repeatable approaches to data analysis and quality control.
  • Make better use of automation and AI while preserving professional standards and human oversight.
  • Turn complex bibliographic data into more reliable and useful experiences for libraries and their users.
Working at Third IronThis is a remote position designed for someone who communicates proactively, works well independently, and enjoys collaborating across disciplines. You will have the opportunity to apply library expertise at scale and directly influence the data, systems, and services used by Third Iron's customers.  Third Iron is a small company of around 30 employees and our growth and success have been fueled by the passionate, curious people who work here. We value input and feedback while looking to minimize the interruptions of meetings, report writing, and internal emails.
Understanding that work is just part of your life, Third Iron also provides benefits including health, dental, long-term disability, paid time-off, home-office stipend, and more. It's why most employees who work at Third Iron spend many years of their careers here. You could, too!
 

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