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Remote Biotech Data Analyst Jobs in Fargo, ND (NOW HIRING)

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Treasury Analyst - AI Trainer

Fargo, ND ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

... remote . In this role, you will have the opportunity to: * Partner cross-functionally with ... Experience managing products in a regulated biotechnology, pharmaceutical, or medical device ...

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Showing results 1-20

Remote Biotech Data Analyst information

See Fargo, ND salary details

$33.4K

$81.1K

$133.5K

How much do remote biotech data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote biotech data analyst in Fargo, ND is $81,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 per year, depending on experience, location, and employer.

What is a remote biotech data analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

How does a remote biotech data analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.

What are the key skills and qualifications needed to thrive as a remote biotech data analyst, and why are they important?

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

What are popular job titles related to Remote Biotech Data Analyst jobs in Fargo, ND?

For Remote Biotech Data Analyst jobs in Fargo, ND, the most frequently searched job titles are:

What job categories do people searching Remote Biotech Data Analyst jobs in Fargo, ND look for?

The top searched job categories for Remote Biotech Data Analyst jobs in Fargo, ND are:

Infographic showing various Remote Biotech Data Analyst job openings in Fargo, ND as of August 2026, with employment types broken down into 2% Internship, 64% Full Time, 19% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,138 per year, or $39 per hour.

AI/ML Data Contributor

TSMG

Fargo, ND โ€ข Remote

Full-time

Re-posted 11 hours ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.