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Remote Software Implementation Jobs in Burlington, NC

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

Account Executive

Greensboro, NC · Remote

$85K - $95K/yr

No Remote: My Work Mode Department: Sales Reports To: Head of Revenue Work Hours: 8:00 AM - 5:00 PM ... implementation through ongoing support. Based in Greensboro, NC, we foster a collaborative ...

Sales Support Proposal Specialist

Greensboro, NC · On-site +1

$21.75 - $29.50/hr

It is not an IT project management, software development, systems implementation, or technical ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

Remote Software Implementation information

See Burlington, NC salary details

$37.1K

$64.1K

$85.6K

How much do remote software implementation jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote software implementation in Burlington, NC is $64,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $75,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the remote software implementation position, and why are they important?

To thrive in Remote Software Implementation, you need a strong background in software deployment, system integrations, and troubleshooting, commonly supported by a degree in computer science or a related field. Familiarity with tools such as CRMs, ERPs, API management software, project management platforms, and certifications like PMP or vendor-specific implementation credentials are valuable. Excellent communication, customer service orientation, and problem-solving abilities help you excel when guiding clients through configuration and onboarding processes. These skills ensure seamless software adoption, high client satisfaction, and efficient remote collaboration in dynamic business environments.

What are some typical challenges faced in a remote software implementation role, and how are they addressed?

Remote software implementation professionals often encounter challenges such as coordinating with clients across different time zones, troubleshooting issues without onsite access, and ensuring clear communication throughout the deployment process. To address these issues, teams commonly rely on robust virtual collaboration tools, structured project management systems, and frequent check-ins with stakeholders to ensure everyone remains aligned. Adaptability and proactive communication are crucial in overcoming obstacles and maintaining project timelines. By developing strong remote workflows and leveraging innovative support methods, implementation specialists can deliver successful results and outstanding client experiences without being physically present.

What is a remote software implementation?

A Remote Software Implementation job involves deploying, configuring, and integrating software solutions for clients while working remotely. Professionals in this role collaborate with customers to understand their requirements, provide technical guidance, and ensure a smooth onboarding process. They may also troubleshoot issues, train end-users, and optimize system performance. Strong communication, problem-solving, and technical skills are essential for success in this role.

What job categories do people searching Remote Software Implementation jobs in Burlington, NC look for? The top searched job categories for Remote Software Implementation jobs in Burlington, NC are:
What cities near Burlington, NC are hiring for Remote Software Implementation jobs? Cities near Burlington, NC with the most Remote Software Implementation job openings:

Bioinformatics Software Engineer

micro1 AI

High Point, NC • Remote

$80 - $110/hr

Part-time

Posted 9 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.