2

Remote Mis Data Analyst Jobs in Nevada (NOW HIRING)

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

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 ...

Computational Biologist - AI Reviewer

Reno, NV ยท 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 ...

Operational Safety Lead

Las Vegas, NV ยท Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a rare opportunity to take ownership of operational safety for Vay's remote driving ... Develop and optimize data-driven tools and methods for incident tracking and risk analysis

Showing results 41-60

Remote Mis Data Analyst information

What is a remote MIS data analyst?

A Remote MIS (Management Information Systems) Data Analyst is a professional who works from a remote location to analyze, interpret, and report on data related to an organization's information systems and business processes. They collect and manage data, create dashboards and reports, and provide insights that help drive strategic decision-making. These analysts typically use tools like SQL, Excel, and business intelligence software to identify trends, monitor performance, and ensure data accuracy. Their work is essential in helping organizations operate efficiently and make data-driven decisions, all while collaborating with teams virtually.

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

To thrive as a Remote MIS Data Analyst, you need strong analytical abilities, a background in information systems or data analytics, and experience with data management. Familiarity with tools such as SQL, Excel, data visualization platforms (like Power BI or Tableau), and sometimes certifications like Certified Analytics Professional (CAP) are typically required. Attention to detail, effective communication, and problem-solving skills help you interpret data insights and collaborate with remote teams. These skills ensure accurate data analysis, informed decision-making, and smooth virtual teamwork in a remote work environment.

What are some common challenges faced by remote MIS data analysts, and how can they be overcome?

Remote MIS Data Analysts often encounter challenges such as ensuring data accuracy across multiple systems, maintaining effective communication with distributed teams, and managing data security. Overcoming these challenges requires strong attention to detail, proficiency with collaboration tools, and a proactive approach to clarifying requirements and deadlines. Regular virtual meetings and clear documentation practices help ensure alignment with team members and stakeholders, while ongoing training in data privacy protocols supports secure data handling.

What is the difference between Remote Mis Data Analyst vs Remote Business Data Analyst?

AspectRemote Mis Data AnalystRemote Business Data Analyst
Required CredentialsBachelor's in MIS, Data Analysis, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Business, Data Analysis, or related; certifications like CBAP or Microsoft Certified Data Analyst
Work EnvironmentRemote, often within IT or MIS departmentsRemote, within business units or consulting firms
Employer & Industry UsageUsed in IT, finance, healthcare sectorsCommon in corporate, consulting, and retail sectors
Comparison Search IntentYesYes

The Remote Mis Data Analyst focuses on managing and analyzing data related to Management Information Systems, often within IT departments. In contrast, the Remote Business Data Analyst emphasizes analyzing data to support business decisions across various departments. Both roles require similar certifications and often operate in remote environments, but their primary focus and industry usage differ slightly.

Is it possible to work remotely as a remote mis data analyst?

Remote MIS Data Analysts can often work from home, as many companies offer remote positions that require skills in data analysis, database management, and familiarity with tools like SQL and Excel. Successful remote work typically depends on strong communication skills, self-discipline, and reliable internet access.

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

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

What cities in Nevada are hiring for Remote Mis Data Analyst jobs?

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

Cheminformatics Specialist - Remote

micro1 AI

Sparks, NV โ€ข Remote

$80 - $110/hr

Part-time

Posted 18 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.