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Remote Staff Data Scientist Jobs in Reno, NV (NOW HIRING)

Description This role is primarily remote within the state of Nevada, except for required ... Remain current with developments in the law; understand medical, scientific, construction, products ...

Description This role is primarily remote within the state of Nevada, except for required ... Remain current with developments in the law; understand medical, scientific, construction, products ...

Description This role is primarily remote within the state of Nevada, except for required ... Remain current with developments in the law; understand medical, scientific, construction, products ...

Description This role is primarily remote within the state of Nevada, except for required ... Remain current with developments in the law; understand medical, scientific, construction, products ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Senior Data Center Quality Engineer

Reno, NV · On-site +1

$88K - $119K/yr

Bachelors degree in Engineering, Construction Management, Science, or related field Why Switch? * A ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Senior Data Center Quality Engineer

Sparks, NV · On-site +1

$88K - $120K/yr

Bachelor's degree in Engineering, Construction Management, Science, or related field Why Switch ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have leadership capabilities and interests. Work Locations: * Reno, NV * Sacramento, CA * United States - Remote ...

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have leadership capabilities and interests. Work Locations: * Reno, NV * Sacramento, CA * United States - Remote ...

Member of Legal Staff, Commercial Counsel Job Type: Full-time Location : Remote (opportunity to work from our SF office) The Role We are looking for a high-potential commercial attorney to join our ...

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Showing results 1-20

Remote Staff Data Scientist information

See Reno, NV salary details

$45.9K

$164.5K

$242.8K

How much do remote staff data scientist jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote staff data scientist in Reno, NV is $164,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $169,500.00 per year, depending on experience, location, and employer.

What is a remote staff data scientist?

A Remote Staff Data Scientist is a professional who analyzes complex data to extract insights and support decision-making, all while working remotely. They use machine learning, statistical analysis, and data visualization techniques to solve business problems. This role typically requires strong programming skills in languages like Python or R, experience with data manipulation tools, and knowledge of cloud platforms. Remote staff data scientists collaborate with cross-functional teams through virtual communication tools to develop data-driven solutions. Working remotely provides flexibility but also requires self-discipline and effective communication skills.

What skills and qualifications are needed to thrive as a remote staff data scientist?

To thrive as a Remote Staff Data Scientist, you need strong analytical skills, proficiency in statistical modeling and machine learning, and a solid background in computer science or related quantitative fields. Familiarity with tools like Python, R, SQL, data visualization libraries, and cloud platforms, as well as relevant certifications, is highly valued. Exceptional communication, self-motivation, and the ability to collaborate effectively in virtual teams are important soft skills for this role. These skills ensure accurate data-driven insights, seamless teamwork, and productive remote work environments for organizational success.

What are common challenges faced by remote staff data scientists, and how can they be addressed?

Remote Staff Data Scientists may encounter challenges such as collaborating across different time zones, maintaining clear communication with team members, and accessing secure data remotely. To address these issues, many organizations use robust project management tools, regularly scheduled virtual meetings, and strong data security protocols. Building trust and proactively sharing progress through frequent updates can also help maintain alignment with your team. Adapting to remote work requires discipline and strong digital communication skills, but it also allows for greater flexibility and work-life balance. Successful data scientists leverage these practices to stay productive and connected while working remotely.

What are popular job titles related to Remote Staff Data Scientist jobs in Reno, NV?

For Remote Staff Data Scientist jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Remote Staff Data Scientist jobs in Reno, NV look for?

The top searched job categories for Remote Staff Data Scientist jobs in Reno, NV are:

Infographic showing various Remote Staff Data Scientist job openings in Reno, NV as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $164,534 per year, or $79.1 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Sparks, NV • Remote

$80 - $110/hr

Part-time

Posted 26 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.