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Phd Research Scientist Jobs in Boca Raton, FL (NOW HIRING)

Quant Blueprint LLC

AI Scientist

West Palm Beach, FL · On-site

... researchers, and portfolio managers What You'll Bring PhD degree in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field) 2+ years ...

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Quant Blueprint LLC

AI Scientist

West Palm Beach, FL · On-site

... researchers, and portfolio managers What You'll Bring PhD degree in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field) 2+ years ...

New

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All JobsPhd Research Scientist JobsPhd Research Scientist Jobs in Boca Raton, FL

Phd Research Scientist information

See Boca Raton, FL salary details

$47.9K

$123.5K

$165.1K

How much do phd research scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for phd research scientist in Boca Raton, FL is $123,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $164,200.00 per year, depending on experience, location, and employer.

What is a PhD research scientist?

PhD Research Scientists are professionals who have earned a Doctor of Philosophy (PhD) degree and conduct advanced research in their field of expertise. They design and carry out experiments, analyze data, and develop new theories or technologies. These scientists often work at universities, research institutes, government agencies, or private industry, contributing to scientific knowledge and innovation. Their work may be published in peer-reviewed journals and presented at conferences to share findings with the wider scientific community.

What are the key skills and qualifications needed to thrive as a PhD research scientist?

To thrive as a PhD Research Scientist, you need advanced expertise in your scientific discipline, strong analytical abilities, and a doctoral degree in a relevant field. Familiarity with specialized laboratory equipment, data analysis software (such as MATLAB, R, or Python), and experience with research methodologies are typically required. Critical thinking, perseverance, and effective communication are essential soft skills for presenting findings and collaborating with diverse teams. These skills ensure rigorous, innovative research and facilitate knowledge sharing and problem-solving within the scientific community.

What are some common challenges PhD research scientists face when transitioning from academia to industry roles?

PhD Research Scientists often encounter challenges such as adapting to faster project timelines, aligning research objectives with business goals, and learning to communicate scientific findings to non-specialist stakeholders. In industry, there is a stronger emphasis on collaboration, cross-functional teamwork, and delivering results that directly impact product development or company strategy. Building skills in project management and networking within multidisciplinary teams can help ease this transition and open up further advancement opportunities.

What is the difference between Phd Research Scientist vs Data Scientist?

AspectPhd Research ScientistData Scientist
Required CredentialsPhD in relevant field, research experienceBachelor's/Master's in CS, stats, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, finance, healthcare, industry
Employer & Industry UsageUniversities, research institutions, corporate R&DBusiness sectors, startups, large tech firms

While both roles involve data analysis and research skills, a Phd Research Scientist primarily focuses on academic or fundamental research, often in labs or R&D settings. Data Scientists typically work in industry, applying data analysis to solve business problems. The roles overlap in skills but differ in environment and application focus.

How much money do PhD research scientists make?

PhD research scientists typically earn between $70,000 and $120,000 annually, depending on experience, industry, and location. They often work in research institutions, academia, or industry labs, utilizing advanced skills in data analysis, experimental design, and specialized tools.

What can you do with a research Phd?

A research PhD prepares individuals for careers in academia, industry, government, or non-profit sectors, often involving roles such as research scientist, data analyst, or product developer. It develops advanced skills in critical thinking, data analysis, and specialized knowledge, which are valuable in R&D, consulting, or scientific communication.

What are popular job titles related to Phd Research Scientist jobs in Boca Raton, FL?

For Phd Research Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Phd Research Scientist jobs in Boca Raton, FL look for?

The top searched job categories for Phd Research Scientist jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Phd Research Scientist jobs?

Cities near Boca Raton, FL with the most Phd Research Scientist job openings:

Phd Research Scientist jobs near you
Infographic showing various Phd Research Scientist job openings in Boca Raton, FL as of August 2026, with employment types broken down into 50% Full Time, and 50% Nights. Highlights an 100% In-person job distribution, with an average salary of $123,476 per year, or $59.4 per hour.

Bioinformatics Research Scientist - AI Reviewer

Coral Springs, FL • Remote

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

$80 - $110/hr

Part-time

Posted 29 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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