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Internship Remote Data Analyst Jobs in Nevada (NOW HIRING)

ABB

Data Center COE Project Manager

NV · Remote

$112K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... Analyzing and addressing project risks, and regularly disseminating lessons learned * Working with ...

micro1 AI

Cheminformatics Specialist - Remote

Reno, NV · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Cheminformatics Specialist - Remote

Sparks, NV · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Computational Biologist - AI Reviewer

Reno, NV · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

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Internship Remote Data Analyst information

What types of projects can a remote data analyst intern typically expect to work on, and how is support provided when working remotely?

As a remote data analyst intern, you can expect to work on projects like cleaning and organizing datasets, conducting exploratory data analysis, creating visualizations, and assisting with building statistical models or dashboards. Since you are working remotely, communication and mentorship are often facilitated through regular virtual meetings, shared documentation, and collaboration tools such as Slack or Microsoft Teams. Supervisors and team members will typically provide guidance through scheduled check-ins and feedback sessions, ensuring you have the support needed to progress and learn. This structure helps interns develop both technical and communication skills essential for data-driven roles.

What is a remote data analyst internship?

A remote data analyst internship is a temporary position where interns work from a location of their choice, typically from home, to support an organization's data analysis needs. Interns in this role collect, process, and analyze data to help inform business decisions. They may use tools like Excel, SQL, or Python to organize data, create reports, and present findings. The internship provides practical experience and helps build skills that are valuable for a career in data analysis.

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

To thrive as an Internship Remote Data Analyst, you need a solid understanding of data analysis, statistics, and proficiency in tools like Excel, Python, or R, often supported by coursework in data science or related fields. Familiarity with data visualization platforms such as Tableau or Power BI and experience with SQL databases are typically expected. Strong attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and sharing insights remotely. These abilities ensure accurate analysis, clear reporting, and effective collaboration in a virtual work environment.

What are the most commonly searched types of Remote Data Analyst jobs in Nevada?

The most popular types of Remote Data Analyst jobs in Nevada are:

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For Internship Remote Data Analyst jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Internship Remote Data Analyst jobs in Nevada look for?

The top searched job categories for Internship Remote Data Analyst jobs in Nevada are:

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Cities in Nevada with the most Internship Remote Data Analyst job openings:

Internship Remote Data Analyst jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Las Vegas, NV • Remote

$80 - $110/hr

Part-time

Posted 16 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.

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