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Phd Scientist Jobs in Reno, NV (NOW HIRING)

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Phd Scientist information

See Reno, NV salary details

$37.4K

$122.4K

$195.9K

How much do phd scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for phd scientist in Reno, NV is $122,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a PhD scientist?

PhD scientists are professionals who have completed a Doctor of Philosophy (PhD) degree in a scientific field, such as biology, chemistry, physics, or engineering. They conduct original research, analyze data, and contribute new knowledge to their area of expertise. In addition to research, PhD scientists may also teach at universities, mentor students, and work in industry, government, or non-profit organizations. Their advanced training prepares them to solve complex problems and drive innovation in science and technology.

What are the key skills and qualifications needed to thrive as a PhD scientist?

To thrive as a PhD Scientist, you need advanced research skills, deep subject matter expertise, and a doctoral degree in a scientific discipline. Proficiency with specialized laboratory equipment, data analysis software (such as R, Python, or MATLAB), and experience with scientific publishing are typically required. Strong critical thinking, problem-solving, and communication skills set exceptional PhD Scientists apart. These abilities are vital for designing rigorous experiments, analyzing complex data, and effectively sharing findings with both technical and non-technical audiences.

What are some common challenges PhD scientists face when transitioning from academia to industry roles?

PhD Scientists often encounter challenges such as adapting to faster-paced project timelines, working within multidisciplinary teams, and aligning their research with business objectives rather than purely academic interests. Unlike academia, industry roles typically require frequent collaboration with colleagues from diverse backgrounds, including engineering, marketing, and regulatory affairs. Additionally, effective communication and the ability to translate complex findings for non-expert stakeholders become crucial skills for success in industry settings.

What is the difference between Phd Scientist vs Research Scientist?

AspectPhd ScientistResearch Scientist
Required CredentialsPhD in relevant fieldBachelor's or Master's often sufficient, but PhD preferred in some cases
Work EnvironmentLaboratories, research institutions, academiaCorporate labs, industry R&D, academia
Employer & Industry UsageUniversities, government agencies, biotech firmsPharmaceutical companies, tech firms, research organizations

While both roles involve research and scientific expertise, a Phd Scientist typically holds a doctoral degree and may focus on advanced research projects, often in academia or specialized labs. A Research Scientist may have a master's or bachelor's degree and work in industry or applied research settings. The Phd Scientist usually engages in more independent, high-level research, whereas the Research Scientist often supports broader project goals.

Can you be a Phd scientist with a PhD?

A Phd scientist is a professional who holds a PhD and conducts research or specialized work in their field. Having a PhD is typically a requirement for this role, and it demonstrates advanced expertise, critical thinking, and research skills. No additional PhD is needed to be a Phd scientist, but relevant experience and knowledge of laboratory tools or data analysis may be important.

Is a Phd Scientist worth it in science?

A PhD scientist is highly valued in research and academia for their specialized knowledge, analytical skills, and ability to conduct independent investigations. While it often leads to advanced positions and higher salaries, it requires significant time investment and can involve competitive job markets, especially in academia and industry research roles.

What is the salary of a Phd Scientist?

The salary of a Phd Scientist varies depending on the industry, location, and experience, but typically ranges from $80,000 to $130,000 annually. Senior or specialized roles can offer higher compensation, especially in biotech, pharmaceuticals, or research-intensive fields.

What jobs can I do with a Phd Scientist in science?

A PhD scientist can pursue roles such as research scientist, data analyst, laboratory manager, or scientific consultant across industries like pharmaceuticals, biotechnology, academia, and government agencies. These positions often require strong analytical skills, familiarity with laboratory techniques, and the ability to interpret complex data. Additional certifications or experience with specific tools may enhance job prospects.

What are popular job titles related to Phd Scientist jobs in Reno, NV?

For Phd Scientist jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Phd Scientist jobs in Reno, NV look for?

The top searched job categories for Phd Scientist jobs in Reno, NV are:

What cities near Reno, NV are hiring for Phd Scientist jobs?

Cities near Reno, NV with the most Phd Scientist job openings:

Phd Scientist jobs near you
Infographic showing various Phd Scientist job openings in Reno, NV as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $122,379 per year, or $58.8 per hour.

Bioinformatics Research Scientist - AI Reviewer

Sparks, NV • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 27 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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