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Entry Level Chemical Data Analyst Jobs in Reno, NV

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

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

High School Science Tutor

Reno, NV · Remote

$18 - $40/hr

... chemical reactions, forces and motion, energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science ...

Process Research Engineer

Reno, NV · On-site

$90 - $150/hr

The main areas of interest are clay leaching, neutralization, and chemical precipitations, but may ... Impeccable organizational skills in data collection, analytics, management and reporting.Effective ...

Physical Chemistry Tutor

Reno, NV · Remote

$18 - $40/hr

... data analysis. Guides students through solving heat capacity problems, applying Boltzmann ... Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials ...

AP Chemistry Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of atomic structure, intermolecular forces, chemical bonding, reaction kinetics ... interpretation, and laboratory data analysis. Emphasizes particulate-level reasoning and ...

Showing results 21-40

Entry Level Chemical Data Analyst information

See Reno, NV salary details

$13

$32

$61

How much do entry level chemical data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level chemical data analyst in Reno, NV is $32.83, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $36.68 per hour, depending on experience, location, and employer.

What does an entry level chemical data analyst do?

An Entry Level Chemical Data Analyst is responsible for collecting, processing, and analyzing chemical data to support research, product development, or quality control in industries such as pharmaceuticals, manufacturing, or environmental science. They use various analytical tools and software to interpret data, create reports, and help make data-driven decisions. Typically, they collaborate with chemists, engineers, and other analysts to ensure data accuracy and meet project objectives. This role is ideal for those with a background in chemistry, data analysis, or related fields, and often serves as a stepping stone to more advanced analytical or research positions.

What are the key skills and qualifications needed to thrive as an entry level chemical data analyst?

To thrive as an Entry Level Chemical Data Analyst, you need a solid background in chemistry, data analysis, and statistics, typically supported by a bachelor's degree in chemistry or a related field. Familiarity with data analysis tools such as Excel, Python, R, and chemical databases is commonly required. Analytical thinking, attention to detail, and effective communication skills help you interpret complex data and convey findings clearly. These skills ensure accurate data management, insightful analysis, and successful collaboration on scientific projects.

What types of projects and data sets can an entry level chemical data analyst expect to work with?

As an Entry Level Chemical Data Analyst, you’ll typically work with large data sets originating from laboratory experiments, chemical process monitoring, and quality control reports. Projects may include analyzing chemical compositions, tracking process efficiencies, or assisting in the development of predictive models for product quality. You’ll use industry-standard software tools to clean, visualize, and interpret data, often collaborating closely with chemists, engineers, and senior analysts. This role provides valuable exposure to various aspects of chemical manufacturing and research, fostering both technical and teamwork skills.

What job categories do people searching Entry Level Chemical Data Analyst jobs in Reno, NV look for?

The top searched job categories for Entry Level Chemical Data Analyst jobs in Reno, NV are:

What cities near Reno, NV are hiring for Entry Level Chemical Data Analyst jobs?

Cities near Reno, NV with the most Entry Level Chemical Data Analyst job openings:

Infographic showing various Entry Level Chemical Data Analyst job openings in Reno, NV as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $68,286 per year, or $32.8 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Reno, NV • Remote

$80 - $110/hr

Part-time

Posted 21 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.