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Remote Expedia Software Engineer Jobs in Pompano Beach, FL

micro1 AI

Bioinformatics Software Engineer

Hollywood, FL · 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 ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... In your role, you will work with our software developers, database architects, data analysts, and ...

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All JobsExpedia Software Engineer JobsRemote Expedia Software Engineer JobsRemote Expedia Software Engineer Jobs in Pompano Beach, FL

Remote Expedia Software Engineer information

See Pompano Beach, FL salary details

$59.8K

$138.8K

$193.4K

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

As of Aug 19, 2026, the average yearly pay for remote expedia software engineer in Pompano Beach, FL is $138,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $162,800.00 per year, depending on experience, location, and employer.

Does Expedia offer remote work?

Expedia offers remote work opportunities for certain software engineering roles, allowing employees to work from home or other remote locations. These positions often require familiarity with collaboration tools and remote communication skills. Availability of remote work may vary by role and team needs.

Does Expedia pay well?

Expedia Software Engineers typically receive competitive salaries that align with industry standards for tech roles, often supplemented with benefits such as bonuses and stock options. Compensation can vary based on experience, location, and skill set, with remote positions often offering salary ranges comparable to on-site roles in similar markets.

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Bioinformatics Software Engineer

micro1 AI

Coral Springs, FL • Remote

$80 - $110/hr

Part-time

Posted 17 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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