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Remote Software Analyst Jobs in Yuma, AZ (NOW HIRING)

... analysis. * Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports. * Experience participating in multidisciplinary and/or remote ...

Remote Software Analyst information

See Yuma, AZ salary details

$24

$46

$60

How much do remote software analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote software analyst in Yuma, AZ is $46.11, according to ZipRecruiter salary data. Most workers in this role earn between $34.95 and $55.19 per hour, depending on experience, location, and employer.

What is a remote software analyst?

A Remote Software Analyst is a professional who evaluates, designs, and improves software systems while working from a location outside of a traditional office environment. They analyze user requirements, troubleshoot software issues, and collaborate with development teams to ensure software efficiency and effectiveness. Their remote role relies heavily on digital communication tools to coordinate projects and deliver solutions. This position is crucial for organizations that need software expertise without requiring on-site presence.

What are the key skills and qualifications needed to thrive as a remote software analyst?

To thrive as a Remote Software Analyst, you need strong analytical skills, software development knowledge, and a relevant degree in computer science or a related field. Familiarity with tools like SQL, Jira, and requirements management software, as well as certifications such as CBAP or Agile, is often expected. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for remote collaboration and effective analysis. These competencies ensure accurate requirements gathering, efficient remote teamwork, and successful delivery of software solutions.

How do remote software analysts typically collaborate with development and QA teams while working off-site?

Remote Software Analysts often use a combination of collaboration tools such as project management software, video conferencing, and instant messaging to stay connected with development and QA teams. Regular virtual meetings, clear documentation, and proactive communication are key to ensuring everyone is aligned on project requirements and timelines. Analysts may be responsible for clarifying requirements, reviewing test cases, and providing feedback asynchronously, making strong organizational and communication skills essential for effective teamwork in a distributed environment.

What is the difference between Remote Software Analyst vs Remote Software Tester?

AspectRemote Software AnalystRemote Software Tester
Required CredentialsBachelor's in CS or related field, certifications like CSQA or ISTQB (optional)Bachelor's in CS or related field, certifications like ISTQB (preferred)
Work EnvironmentAnalyzes software requirements, collaborates with developers and stakeholders remotelyTests software applications, executes test cases, reports bugs remotely
Employer & Industry UsageUsed across IT, finance, healthcare industries for software analysisCommon in software development, QA teams, tech companies

Both roles often require similar educational backgrounds and certifications. The main difference is that Remote Software Analysts focus on understanding and analyzing software requirements, while Remote Software Testers concentrate on testing and quality assurance. Both roles are vital in software development and frequently work remotely within tech-driven industries.

What are popular job titles related to Remote Software Analyst jobs in Yuma, AZ?

For Remote Software Analyst jobs in Yuma, AZ, the most frequently searched job titles are:

What cities near Yuma, AZ are hiring for Remote Software Analyst jobs?

Cities near Yuma, AZ with the most Remote Software Analyst job openings:

Bioinformatics Software Engineer

micro1 AI

Yuma, AZ • Remote

$80 - $110/hr

Part-time

Posted 20 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.