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Remote Experimental Research Jobs in Nevada (NOW HIRING)

Atlas Copco

Key Account Sales - Reno

Reno, NV · On-site +1

Research accounts and customer operations to understand process flows, pumping applications ... including remote mine sites and industrial facilities. Candidates must be able to drive long ...

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Remote Experimental Research information

What is remote experimental research?

Remote experimental research refers to conducting scientific experiments or studies outside of traditional laboratory settings, often utilizing digital tools, online platforms, or remote data collection methods. Researchers can design, implement, and monitor experiments with participants or equipment located in different geographic locations. This approach enables greater flexibility, access to broader participant pools, and can reduce costs, but it may also present challenges in controlling variables and ensuring data quality.

What are the key skills and qualifications needed to thrive as a remote experimental researcher?

To thrive as a Remote Experimental Researcher, you need a solid background in experimental design, data analysis, and subject matter expertise, often supported by an advanced degree in a relevant scientific field. Familiarity with statistical software (such as R or SPSS), online survey platforms, and project management tools is typically required. Strong self-motivation, attention to detail, and effective virtual communication are essential soft skills for coordinating research remotely. These competencies ensure that research projects are rigorously designed, efficiently executed, and collaboratively managed despite distance.

What are some challenges unique to conducting experimental research remotely, and how can they be addressed?

One of the main challenges in remote experimental research is ensuring reliable data collection when participants are not in a controlled environment. Issues such as inconsistent internet connectivity, varying participant hardware, and distractions can impact the quality of results. To address these, researchers often use robust online platforms, provide clear instructions, and implement attention checks to maintain data integrity. Additionally, regular communication and technical support help participants navigate potential issues, ensuring smoother research execution and better outcomes.

What cities in Nevada are hiring for Remote Experimental Research jobs?

Cities in Nevada with the most Remote Experimental Research job openings:

Remote Experimental Research jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

North Las Vegas, NV • Remote

$80 - $110/hr

Part-time

Posted 24 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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