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Data Review Scientist Jobs in Boca Raton, FL (NOW HIRING)

Lead Data Engineer

West Palm Beach, FL · On-site

$99K - $130K/yr

Conduct code reviews, design reviews, and performance tuning of data pipelines Team & People ... Preferred Qualifications * Experience in Data Science or advanced analytics environments.

... scientists, digital innovators, program and construction managers and other professionals ... May review the work of entry- and mid-level clerks. * Performs clerical duties and office functions ...

... scientists, digital innovators, program and construction managers and other professionals ... May review the work of entry- and mid-level clerks. * Performs clerical duties and office functions ...

... scientists, digital innovators, program and construction managers and other professionals ... May review the work of entry- and mid-level clerks. * Performs clerical duties and office functions ...

... scientists, digital innovators, program and construction managers and other professionals ... May review the work of entry- and mid-level clerks. * Performs clerical duties and office functions ...

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Showing results 41-60

Data Review Scientist information

See Boca Raton, FL salary details

$35.6K

$116.5K

$186.5K

How much do data review scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data review scientist in Boca Raton, FL is $116,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Review Scientist vs Data Analyst?

AspectData Review ScientistData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; familiarity with data review toolsBachelor's degree in data analysis, statistics, or related field; proficiency in data visualization and analysis software
Work EnvironmentHealthcare, clinical trials, or research settings focusing on data quality and complianceBusiness, marketing, finance, or operations across various industries analyzing data trends
Employer & Industry UsagePharmaceutical companies, research institutions, healthcare organizationsCorporations, marketing agencies, financial firms, and tech companies

While both roles involve working with data, Data Review Scientists primarily focus on ensuring data quality and compliance in research or clinical settings, whereas Data Analysts interpret data to inform business decisions across diverse industries.

What are some common challenges faced by data review scientists when ensuring data integrity in research projects?

Data Review Scientists often encounter challenges such as identifying inconsistencies in large datasets, resolving discrepancies between source documents and digital records, and ensuring strict adherence to regulatory standards like GLP or GCP. They must also coordinate with cross-functional teams, including laboratory staff and data managers, to clarify data queries and implement corrective actions promptly. Staying updated with evolving data management technologies and regulatory requirements is crucial for success and helps maintain the highest levels of data integrity throughout research projects.

What are the key skills and qualifications needed to thrive as a data review scientist?

To thrive as a Data Review Scientist, you need a solid background in life sciences or related fields, strong analytical skills, and experience with data validation and interpretation. Familiarity with data management systems such as LIMS, proficiency in statistical analysis tools like SAS or R, and knowledge of regulatory guidelines (e.g., GxP, FDA) are typically required. Attention to detail, critical thinking, and effective communication help ensure accuracy and clarity when reviewing complex datasets and collaborating with cross-functional teams. These skills are crucial for maintaining data integrity and supporting regulatory compliance in scientific research and clinical trials.

What does a data review scientist do?

A Data Review Scientist is responsible for reviewing, validating, and interpreting scientific data to ensure its accuracy, integrity, and compliance with regulatory standards. They often work in pharmaceutical, clinical, or research settings, analyzing experimental or clinical trial data for errors, inconsistencies, and completeness. Their work helps ensure that scientific findings are reliable and can be used to support research conclusions or regulatory submissions.
What are popular job titles related to Data Review Scientist jobs in Boca Raton, FL? For Data Review Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Data Review Scientist jobs in Boca Raton, FL look for? The top searched job categories for Data Review Scientist jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Data Review Scientist jobs? Cities near Boca Raton, FL with the most Data Review Scientist job openings:
Infographic showing various Data Review Scientist job openings in Boca Raton, FL as of August 2026, with employment types broken down into 86% Full Time, 7% Contract, and 7% Nights. Highlights an 100% In-person job distribution, with an average salary of $116,475 per year, or $56 per hour.

Data Engineering Lead- Finance

DPR Construction

Fort Lauderdale, FL

$109K - $131K/yr

Full-time

Re-posted 18 days ago


DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

18th of 80 rated construction


Job description

Job DescriptionWe are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals.
This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations.
Responsibilities
  • Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions.
  • Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams.
  • Partner with the extended data team to define, develop, and maintain shared data models and definitions.
  • Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems.
  • Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery.
  • Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance.
  • Support incident resolution and perform root cause analysis for data-related issues.
  • Create and maintain both business requirement and technical requirement documentation
  • Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions.
  • Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns.
Qualifications
  • Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS).
  • Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
  • Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL
  • Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST).
  • Experience with modern data platforms like Snowflake and Microsoft Fabric.
  • Solid understanding of Data Modeling, pipeline orchestration and performance optimization
  • Strong problem-solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills, with the ability to work collaboratively in a team environment.
  • Familiarity with tools like Power BI for data visualization is a plus.
  • Experience working with or coordinating with overseas teams is a strong plus
Preferred Skills
  • Knowledge of Airflow or other orchestration tools.
  • Experience working with Git-based workflows and CI/CD pipelines
  • Experience in the construction industry or a similar field is a plus but not required.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.


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