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Remote Big Data Analytics 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 ...

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

$15 - $18.75/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

$14.75 - $18.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

$15.50 - $19.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

$16 - $20.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage AI and modern analytics framework to design and maintain interactive financial tools ... Professional work experience with cloud data warehouses (i.e. Big Query, Snowflake or similar ...

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage AI and modern analytics framework to design and maintain interactive financial tools ... Professional work experience with cloud data warehouses (i.e. Big Query, Snowflake or similar ...

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage AI and modern analytics framework to design and maintain interactive financial tools ... Professional work experience with cloud data warehouses (i.e. Big Query, Snowflake or similar ...

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage AI and modern analytics framework to design and maintain interactive financial tools ... Professional work experience with cloud data warehouses (i.e. Big Query, Snowflake or similar ...

Showing results 41-60

Remote Big Data Analytics information

What is a remote big data analytics?

A Remote Big Data Analytics job involves analyzing large and complex data sets to extract insights, identify trends, and support data-driven decision-making, while working from a location outside a traditional office environment. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret big data, often collaborating with teams virtually. They help businesses optimize operations, improve products, and better understand customer behavior. Remote Big Data Analysts must have strong analytical, technical, and communication skills to succeed in this flexible work arrangement.

What are the key skills and qualifications needed to thrive as a remote big data analytics professional?

To thrive as a Remote Big Data Analytics professional, you need a strong background in statistics, data modeling, and programming languages like Python or R, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools such as Hadoop, Spark, SQL databases, and cloud platforms like AWS or Azure, as well as certifications in these technologies, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are standout soft skills for this role. These skills enable effective data-driven decision-making and collaboration across distributed teams in dynamic business environments.

What are some common challenges faced by professionals working in remote big data analytics roles, and how can they be addressed?

Professionals in remote Big Data Analytics roles often encounter challenges related to data accessibility, effective communication with cross-functional teams, and managing time zones. Ensuring secure access to large datasets and collaborating efficiently with colleagues can be more complex when working remotely. To address these challenges, it's important to use robust cloud-based tools, establish clear communication practices, and schedule regular virtual check-ins. Additionally, developing strong self-discipline and time management skills can help maintain productivity and collaboration.

What is the difference between Remote Big Data Analytics vs Remote Data Engineer?

AspectRemote Big Data AnalyticsRemote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in analytics toolsBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data pipelines
Work EnvironmentData analysis platforms, cloud services, analytics toolsData pipelines, ETL tools, cloud infrastructure
Industry UsageFinance, healthcare, marketing, e-commerceTech, finance, healthcare, retail
Common Search & ComparisonYesYes

Remote Big Data Analytics focuses on analyzing large datasets to extract insights, using analytics tools and statistical methods. Remote Data Engineers build and maintain data pipelines and infrastructure to enable data analysis. While both roles work with big data, analytics professionals interpret data, whereas engineers develop the systems to process it.

What are popular job titles related to Remote Big Data Analytics jobs in Nevada?

For Remote Big Data Analytics jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Remote Big Data Analytics jobs?

Cities in Nevada with the most Remote Big Data Analytics job openings:

Infographic showing various Remote Big Data Analytics job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Reno, 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.