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

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

This position can be remote, or based in one of our main offices. Will travel once per year for ... data capture and making informed and timely decisions. • Act as a backup Administrator of ...

This position can be remote, or based in one of our main offices. Will travel once per year for ... data capture and making informed and timely decisions. • Act as a backup Administrator of ...

This position can be remote, or based in one of our main offices. Will travel once per year for ... data capture and making informed and timely decisions. • Act as a backup Administrator of ...

This position can be remote, or based in one of our main offices. Will travel once per year for ... data capture and making informed and timely decisions. Act as a backup Administrator of Viewpoint ...

This position can be remote, or based in one of our main offices. Will travel once per year for ... data capture and making informed and timely decisions. • Act as a backup Administrator of ...

This position can be remote, or based in one of our main offices. Will travel once per year for ... data capture and making informed and timely decisions. • Act as a backup Administrator of ...

This position can be remote, or based in one of our main offices. Will travel once per year for ... data capture and making informed and timely decisions. • Act as a backup Administrator of ...

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Remote Data Analyst Python information

See Fargo, ND salary details

$33.4K

$81.1K

$133.5K

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

As of Aug 14, 2026, the average yearly pay for remote data analyst python 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.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

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

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

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

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

Infographic showing various Remote Data Analyst Python job openings in Fargo, ND as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,138 per year, or $39 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Fargo, ND • Remote

$80 - $110/hr

Part-time

Posted 11 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.