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Remote Data Analysis Intern Jobs in Reno, NV (NOW HIRING)

Pharmacovigilance Expert

Reno, NV · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources.

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 ...

M&A Associate - AI Trainer

Reno, NV · 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 ...

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 ...

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 ...

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Remote Data Analysis Intern information

See Reno, NV salary details

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How much do remote data analysis intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote data analysis intern in Reno, NV is $22.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.42 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analysis Intern vs Remote Data Analyst?

AspectRemote Data Analysis InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree or certification in data analysis, statistics, or related discipline
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time or part-time remote roles with more independent responsibilities
Employer & Industry UsageInternships offered by tech, finance, healthcare, and consulting firmsEstablished companies across various industries seeking experienced data professionals
Common Search & Comparison IntentUnderstanding entry-level opportunities and learning pathsSeeking experienced roles or career advancement in data analysis

The main difference between a Remote Data Analysis Intern and a Remote Data Analyst lies in experience, responsibilities, and career stage. Interns are typically students or recent graduates gaining initial industry exposure, while data analysts are more experienced professionals handling complex data projects independently.

What is a remote data analysis intern?

Remote Data Analysis Interns are students or recent graduates who work from a remote location to support organizations in gathering, cleaning, analyzing, and interpreting data. They often use tools like Excel, SQL, Python, or R to identify trends and provide actionable insights. These interns typically assist with tasks such as data collection, report generation, and data visualization, all while collaborating virtually with their team. The role helps interns develop technical and analytical skills in a real-world business context.

What are the key skills and qualifications needed to thrive as a remote data analysis intern?

To thrive as a Remote Data Analysis Intern, you need foundational skills in statistics, data interpretation, and a relevant academic background, such as coursework in mathematics, computer science, or a related field. Familiarity with data analysis tools like Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, self-motivation, and effective remote communication are essential soft skills for success in a virtual work environment. These skills ensure accurate data insights, efficient collaboration, and the ability to contribute meaningfully to projects while working remotely.

How does a remote data analysis intern typically collaborate with team members and supervisors while working off-site?

As a Remote Data Analysis Intern, you’ll frequently collaborate with team members and supervisors through digital communication tools such as Slack, Zoom, and project management platforms like Asana or Trello. Regular check-in meetings and virtual stand-ups are common to discuss ongoing projects, clarify expectations, and receive feedback. You may also participate in shared code repositories or data dashboards, ensuring transparency and consistent progress. Being proactive in communication and comfortable with asynchronous feedback are key to succeeding in this remote, team-oriented environment.
What are popular job titles related to Remote Data Analysis Intern jobs in Reno, NV? For Remote Data Analysis Intern jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis Intern jobs in Reno, NV look for? The top searched job categories for Remote Data Analysis Intern jobs in Reno, NV are:
What cities near Reno, NV are hiring for Remote Data Analysis Intern jobs? Cities near Reno, NV with the most Remote Data Analysis Intern job openings:
Infographic showing various Remote Data Analysis Intern job openings in Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,672 per year, or $22.4 per hour.

Pharmacovigilance Expert

micro1 AI

Reno, NV • Remote

$70 - $80/hr

Part-time

Posted 5 days ago


Job description

Role Title: Pharmacovigilance Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety expertise on a key customer 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. This opportunity is ideal for professionals experienced in authoring and reviewing complex safety reports, passionate about data quality, and committed to clear written and verbal communication.


Scope of Work

  1. Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records.
  2. Apply expert judgment to assess the accuracy and adequacy of interval safety findings, signal evaluations, and benefit-risk conclusions in alignment with best practices.
  3. Assess template and structural conformity to ICH E2F and ICH E2C requirements, including proper section content, presentation of cumulative versus interval data, and completeness of appendices.
  4. Reconcile figures and case counts across report sections and data sources, identifying and documenting discrepancies significant for regulatory review.
  5. Evaluate safety conclusions in light of new data or events, and provide clear, structured written rationales supporting your determinations.
  6. Deliver structured feedback to inform the development of AI-driven tools for pharmacovigilance documentation and analysis.


Preferred Qualifications

  1. 5+ years of pharmacovigilance or drug safety experience at a sponsor, CRO, or as an independent consultant.
  2. Demonstrated proficiency in authoring or reviewing DSURs and/or PSURs/PBRERs from start to finish.
  3. Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and benefit-risk assessment methodology.
  4. Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness determination, and aggregate safety data analysis.
  5. Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information.
  6. Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent).
  7. Experience in both development-stage and post-marketing safety reporting, QPPV or deputy QPPV roles, safety committee participation, or AI-assisted safety review tools is a plus.