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Remote Knowledge Graph Software Engineer Jobs in Miami, FL

micro1 AI

Bioinformatics Software Engineer

Davie, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Bioinformatics Software Engineer

Hialeah, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Bioinformatics Software Engineer

Sunrise, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Bioinformatics Software Engineer

Miami, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Bioinformatics Software Engineer

Miramar, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Comfrt

Software Engineering Manager

Miami, FL · On-site +1

  • Medical

  • Retirement

  • PTO

Conduct regular 1:1s, performance reviews, and career development planning to support each engineer ... of a fully remote environment. Comfort is an equal opportunity employer. We are committed to ...

Comfrt

Software Engineering Manager

Miami, FL · Remote

  • Medical

  • Retirement

  • PTO

Conduct regular 1:1s, performance reviews, and career development planning to support each engineer ... of a fully remote environment. Comfort is an equal opportunity employer. We are committed to ...

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Remote Knowledge Graph Software Engineer information

See Miami, FL salary details

$60.7K

$141.1K

$196.6K

How much do remote knowledge graph software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote knowledge graph software engineer in Miami, FL is $141,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $165,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Knowledge Graph Software Engineer, you need expertise in graph data modeling, proficiency in programming languages such as Python or Java, and a solid understanding of semantic web technologies, often backed by a degree in computer science or a related field. Familiarity with graph databases like Neo4j or Amazon Neptune, query languages such as SPARQL or Cypher, and experience with knowledge representation frameworks are typically required. Strong problem-solving abilities, effective remote communication, and self-motivation are crucial soft skills for this role. These skills ensure the engineer can design, implement, and maintain complex knowledge graph systems, enabling intelligent data connections and supporting scalable, collaborative remote work environments.

How does a remote knowledge graph software engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Knowledge Graph Software Engineer, collaboration often happens through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, product managers, and other engineers to design and implement scalable graph-based solutions. Clear communication and proactive sharing of updates are essential, as team members may be spread across multiple time zones. Utilizing tools like Slack, Jira, and GitHub, remote engineers ensure alignment on project goals, resolve blockers quickly, and contribute to a cohesive team culture.

What is a remote knowledge graph software engineer?

A Remote Knowledge Graph Software Engineer is a software developer who specializes in designing, building, and maintaining knowledge graph systems while working from a remote location. Knowledge graphs are structured representations of data that help in connecting and analyzing information through relationships and semantics. These engineers use technologies like RDF, SPARQL, and graph databases to enable advanced data querying and integration. They often collaborate with data scientists, analysts, and other engineers to solve complex data challenges across various industries. Working remotely allows them to contribute from anywhere, using communication and collaboration tools to stay connected with their teams.

What are popular job titles related to Remote Knowledge Graph Software Engineer jobs in Miami, FL?

For Remote Knowledge Graph Software Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Remote Knowledge Graph Software Engineer jobs in Miami, FL look for?

The top searched job categories for Remote Knowledge Graph Software Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Remote Knowledge Graph Software Engineer jobs?

Cities near Miami, FL with the most Remote Knowledge Graph Software Engineer job openings:

Remote Knowledge Graph Software Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Pembroke Pines, FL • Remote

$80 - $110/hr

Part-time

Posted 13 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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