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Virtual New Grad Software Engineer Jobs in Reno, NV

Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. * Comfort working with public chemical and bioactivity databases and ...

Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows. * Comfort working with public chemical and bioactivity databases and ...

Software Development Engineer in Test

Reno, NV · On-site

$49.75 - $64.25/hr

... (Software Development Engineer in Test ... With guidance from a qualified SQE, you will develop and execute tests on new and existing products ...

New

Data Engineer II

Reno, NV

$114K - $137K/yr

... learning new technologies. What You'll Do * Design, develop, and maintain scalable ELT/ETL ... Experience using Git and collaborative software development practices. * Strong analytical ...

Data Engineer II

Reno, NV

$114K - $137K/yr

... learning new technologies. What You'll Do * Design, develop, and maintain scalable ELT/ETL ... Experience using Git and collaborative software development practices. * Strong analytical ...

Stay updated with new technologies, tools, and methodologies in embedded systems Qualifications : * Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science ...

Software Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of software development methodologies, programming languages, version control ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Showing results 41-60

Virtual New Grad Software Engineer information

See Reno, NV salary details

$63.3K

$147.1K

$204.9K

How much do virtual new grad software engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for virtual new grad software engineer in Reno, NV is $147,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $172,500.00 per year, depending on experience, location, and employer.

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Cities near Reno, NV with the most Virtual New Grad Software Engineer job openings:

Bioinformatics Software Engineer

micro1 AI

Reno, NV • Remote

$80 - $110/hr

Part-time

Posted 17 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.