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Remote Software Engineer Japanese Jobs in Stuart, FL

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$56.1K

$130.2K

$181.4K

How much do remote software engineer japanese jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote software engineer japanese in Stuart, FL is $130,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $152,700.00 per year, depending on experience, location, and employer.

What is a remote software engineer Japanese?

A Remote Software Engineer Japanese is a software engineer who works remotely, often from another country or location, and is proficient in the Japanese language or works on projects related to the Japanese market. This role typically involves developing, testing, and maintaining software applications while collaborating with Japanese-speaking teams or clients. Communication may take place in Japanese, and understanding Japanese business culture or software requirements is often necessary. The position offers flexibility in work location and is ideal for those with both technical and Japanese language skills.

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

To thrive as a Remote Software Engineer (Japanese), you need strong programming skills, experience with software development methodologies, and proficiency in both Japanese and English, often supported by a computer science degree or relevant certifications. Familiarity with version control systems (like Git), cloud platforms, and project management tools is typically required. Excellent communication, time management, and cross-cultural collaboration skills help you excel in remote and multilingual environments. These skills are vital for delivering high-quality software solutions and ensuring smooth collaboration across geographically distributed teams.

How do remote software engineers working with Japanese teams typically collaborate across time zones and language barriers?

Remote Software Engineers collaborating with Japanese teams often rely on a combination of asynchronous communication tools (such as Slack, email, and project management platforms) and scheduled video meetings to bridge time zone differences. Proficiency in Japanese or at least familiarity with business-level Japanese is highly beneficial, as many technical discussions, documentation, and meetings may occur in the language. Team members usually set clear expectations regarding response times and use shared documentation to maintain project continuity. Building strong relationships and understanding Japanese work culture, such as the emphasis on consensus and politeness, can greatly enhance collaboration and overall productivity.

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Remote Software Engineer Japanese jobs near you
Infographic showing various Remote Software Engineer Japanese job openings in Stuart, FL as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,219 per year, or $62.6 per hour.

Bioinformatics Software Engineer

Port Saint Lucie, FL • Remote

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

$80 - $110/hr

Part-time

Posted 28 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.

Apply