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Remote Associate Software Engineer Jobs in Greensboro, NC

micro1 AI

Bioinformatics Software Engineer

High Point, NC · Remote

$80 - $110/hr

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 ...

micro1 AI

Bioinformatics Software Engineer

Greensboro, NC · Remote

$80 - $110/hr

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 ...

NCAT

Research Associate

Greensboro, NC · On-site +1

... software (i.e., SAS, SPSS, R, Phython, and/or other statistical/programming applications). Required ... remote or hybrid work arrangement, consistent with university and state policies. Position ...

Perdue Farms

Engineering Project Manager

Greensboro, NC · Remote

$78K - $116K/yr

We are dedicated to creating a supportive, inclusive environment where associates feel valued and ... This position is structured as a remote role for individuals residing on the East Coast. The role ...

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Remote Associate Software Engineer information

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How much do remote associate software engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote associate software engineer in Greensboro, NC is $40.91, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $43.32 per hour, depending on experience, location, and employer.

What is a remote associate software engineer?

A Remote Associate Software Engineer is an entry-level software developer who works from a location outside of a traditional office, typically from home or another remote setting. Their main responsibilities include writing and testing code, fixing bugs, collaborating with more senior engineers, and participating in team meetings via online communication tools. This role allows for greater flexibility and often requires strong communication and self-motivation skills to be successful while working remotely.

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

To thrive as a Remote Associate Software Engineer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), problem-solving abilities, and a relevant degree or coding bootcamp experience. Familiarity with version control systems (like Git), integrated development environments (IDEs), and agile collaboration tools (e.g., Jira, Slack) is typically required. Strong communication, self-motivation, and time management are crucial soft skills for effectively contributing to distributed teams. These capabilities ensure you can deliver quality code, stay productive independently, and collaborate seamlessly in a remote environment.

How do remote associate software engineers typically collaborate with their team members?

Remote Associate Software Engineers usually work closely with their teams via digital collaboration tools such as Slack, Jira, and GitHub. Daily stand-ups, regular check-ins, and code reviews are common to ensure everyone is aligned and progressing toward project goals. While communication is primarily virtual, engineers are encouraged to be proactive in reaching out for support or clarification. Building strong relationships with team members, despite the distance, is key to success and helps foster a supportive and productive remote work environment.

What is the difference between Remote Associate Software Engineer vs Remote Software Developer?

AspectRemote Associate Software EngineerRemote Software Developer
Required CredentialsBachelor's in CS or related field, some coding experienceBachelor's or higher in CS or related field, coding skills
Work EnvironmentRemote, collaborative teams, entry-level projectsRemote, independent or team-based projects, varies by experience
Employer & Industry UsageTech companies, startups, software firmsTech companies, startups, software development firms
Search & Comparison IntentYes, often compared for entry-level rolesYes, for experienced or mid-level roles

The Remote Associate Software Engineer typically is an entry-level role requiring foundational coding skills and a relevant degree, working in collaborative remote environments. Remote Software Developers may have more experience and handle complex projects. Both roles are common in tech industries and often searched together by job seekers exploring remote software careers.

What are the most commonly searched types of Remote Software Engineer jobs in Greensboro, NC?

The most popular types of Remote Software Engineer jobs in Greensboro, NC are:

What are popular job titles related to Remote Associate Software Engineer jobs in Greensboro, NC?

For Remote Associate Software Engineer jobs in Greensboro, NC, the most frequently searched job titles are:

What job categories do people searching Remote Associate Software Engineer jobs in Greensboro, NC look for?

The top searched job categories for Remote Associate Software Engineer jobs in Greensboro, NC are:

What cities near Greensboro, NC are hiring for Remote Associate Software Engineer jobs?

Cities near Greensboro, NC with the most Remote Associate Software Engineer job openings:

Remote Associate Software Engineer jobs near you
Infographic showing various Remote Associate Software Engineer job openings in Greensboro, NC as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $85,103 per year, or $40.9 per hour.

Bioinformatics Software Engineer

High Point, NC • Remote

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

$80 - $110/hr

Part-time

Posted 23 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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