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Remote Environmental Science Masters Jobs in Nevada

micro1 AI

Cheminformatics Specialist - Remote

Reno, NV · Remote

$80 - $110/hr

Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Sparks, NV · Remote

$80 - $110/hr

Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Motional

Remote Vehicle Assistance Agent

Las Vegas, NV · Remote

... Science, Physics, Automotive Technology, or a related technical field, or equivalent practical ... Demonstrated experience working in Linux-based environments for operational, diagnostic, or ...

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Remote Environmental Science Masters information

What is a remote environmental science masters program?

A Remote Environmental Science Masters program is a graduate-level degree that can be completed primarily or entirely online, allowing students to study environmental science from anywhere with internet access. These programs cover topics such as ecology, sustainability, environmental policy, and resource management. They are designed for working professionals or students who need flexibility in their schedules. Coursework typically includes lectures, interactive assignments, research projects, and sometimes virtual labs. Graduates are prepared for careers in environmental consulting, policy, research, or further academic study.

What are the key skills and qualifications needed to thrive as a remote environmental science master's graduate?

To thrive as a Remote Environmental Science Master's graduate, you need strong analytical skills, a solid understanding of environmental systems, and an advanced degree (MS or MSc) in environmental science or a related field. Familiarity with GIS software, statistical analysis tools, and remote sensing technologies is typically required. Excellent written communication, critical thinking, and self-motivation are crucial soft skills for success in remote and collaborative work environments. These skills and qualities are important for effectively conducting research, interpreting data, and providing actionable solutions to environmental challenges from a remote setting.

What are some common challenges faced by professionals working remotely with a master's in environmental science, and how can they be addressed?

Professionals with a remote Environmental Science Master's degree often face challenges such as limited fieldwork opportunities, time zone coordination with global teams, and maintaining effective communication with colleagues. To overcome these, it's important to leverage technology for virtual collaboration, proactively schedule regular check-ins, and seek out remote research or data analysis projects that align with your expertise. Building a strong professional network online can also help you stay connected to industry developments and potential collaborators.

What are popular job titles related to Remote Environmental Science Masters jobs in Nevada?

For Remote Environmental Science Masters jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Science Masters jobs in Nevada look for?

The top searched job categories for Remote Environmental Science Masters jobs in Nevada are:

Remote Environmental Science Masters jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Las Vegas, NV • Remote

$80 - $110/hr

Part-time

Posted 22 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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