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Remote Google Chemical Engineering Jobs in Boca Raton, FL

micro1 AI

Bioinformatics Software Engineer

Davie, FL · Remote

$80 - $110/hr

Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports. * Experience participating in multidisciplinary and/or remote projects ...

micro1 AI

Bioinformatics Software Engineer

Sunrise, FL · Remote

$80 - $110/hr

Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports. * Experience participating in multidisciplinary and/or remote projects ...

STARLIMS

Senior Software Engineer IV

Hollywood, FL · On-site +1

$112K - $147K/yr

Senior Software Engineer IV - STARLIMS Remote, U.S.| Full Time | R&D STARLIMS provides leading ... chemical, public health, forensics, and environmental industries-offering you exposure to a wide ...

ClinDCast LLC

Dialogflow CX Specialist

Delray Beach, FL · Remote

Remote We are seeking an experienced Contact Center AI & Dialogflow CX Specialist to join our team ... This role requires strong software development skills, with proficiency in programming languages ...

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Showing results 21-40

All JobsGoogle Chemical Engineering JobsRemote Google Chemical Engineering JobsRemote Google Chemical Engineering Jobs in Boca Raton, FL

Remote Google Chemical Engineering information

See Boca Raton, FL salary details

$38K

$83K

$132.9K

How much do remote google chemical engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote google chemical engineering in Boca Raton, FL is $83,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $101,100.00 per year, depending on experience, location, and employer.

What is a remote Google chemical engineer?

A Remote Google Chemical Engineer is a professional who applies principles of chemical engineering to projects at Google, working remotely rather than at a traditional office location. These engineers may be involved in developing advanced materials, optimizing manufacturing processes, or supporting sustainability initiatives, all while collaborating virtually with teams across the globe. Their work often integrates software tools and data analysis to solve complex problems within Google's diverse range of products and operations. Remote roles allow for flexibility and enable Google to tap into global talent.

What are the key skills and qualifications needed to thrive as a remote Google chemical engineer?

To thrive as a Remote Google Chemical Engineer, you need a strong foundation in chemical engineering principles, data analysis, and process design, typically supported by a degree in chemical engineering or a related field. Familiarity with simulation software (such as Aspen Plus or MATLAB), Python programming, and cloud-based collaboration tools is commonly expected. Excellent problem-solving, self-motivation, and communication skills help you effectively work independently and with cross-functional remote teams. These skills ensure you can innovate, optimize processes, and contribute meaningfully to projects in a distributed work environment.

How do remote chemical engineers typically collaborate with on-site teams and laboratories?

Remote chemical engineers often use digital collaboration tools such as video conferencing, shared cloud documents, and simulation software to coordinate with on-site teams and laboratory staff. They may participate in regular virtual meetings to discuss project progress, troubleshoot technical issues, and review experimental data. While remote work may limit direct access to physical lab equipment, strong communication and clear documentation are key to effective collaboration. Building strong relationships with on-site colleagues helps ensure all project requirements and safety standards are met efficiently.

What is the difference between Remote Google Chemical Engineering vs Remote Chemical Process Engineering?

AspectRemote Google Chemical EngineeringRemote Chemical Process Engineering
Required CredentialsBachelor's or higher in Chemical Engineering, Google certifications beneficialBachelor's or higher in Chemical Engineering, industry certifications preferred
Work EnvironmentPrimarily remote, collaborative with Google teamsPrimarily remote, project-based with chemical firms
Employer & Industry UsageGoogle's R&D and product development teamsChemical manufacturing and processing companies
Search & Comparison IntentYes, for tech-focused chemical engineering roles at GoogleYes, for chemical process design and optimization roles

Remote Google Chemical Engineering involves working with Google's teams on innovative projects, often requiring tech and software skills. In contrast, Remote Chemical Process Engineering focuses on designing and optimizing chemical processes for manufacturing companies. Both roles require a chemical engineering background but differ in industry focus and work environment.

What are popular job titles related to Remote Google Chemical Engineering jobs in Boca Raton, FL?

For Remote Google Chemical Engineering jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Remote Google Chemical Engineering jobs in Boca Raton, FL look for?

The top searched job categories for Remote Google Chemical Engineering jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Remote Google Chemical Engineering jobs?

Cities near Boca Raton, FL with the most Remote Google Chemical Engineering job openings:

Remote Google Chemical Engineering jobs near you
Infographic showing various Remote Google Chemical Engineering job openings in Boca Raton, FL as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, 1% Temporary, and 1% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $83,022 per year, or $39.9 per hour.

Bioinformatics Software Engineer

micro1 AI

Boca Raton, FL • Remote

$80 - $110/hr

Part-time

Posted 19 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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