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Remote Biological Data Analyst Jobs in Florida (NOW HIRING)

Data Analyst

Jacksonville, FL · Remote

$36 - $59/hr

This is a remote position. Summary Our management-oriented team is looking for a driven Data Analyst to help convert unstructured data into strategic business intelligence. In this vital role, you ...

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Data Analyst III

Orlando, FL · On-site +1

$120K - $140K/yr

Master's preferred. • Eight (8) or more years of progressive data analytics, advanced data ... WORK ENVIRONMENT Work is expected to be remote; however, the company reserves the right to require ...

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in one of several remote hire locations) Position Type: Full Time The ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

As a Global Marketing Data Analyst, you'll play a critical role in helping teams understand what ... This is a remote role with up to 20% travel. This job posting is anticipated to close on 08/01/2026.

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team ... The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit ...

This is a remote position with up to 25% domestic travel. This role leads team management and ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the ...

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Remote Biological Data Analyst information

What is a remote biological data analyst?

A Remote Biological Data Analyst is a professional who analyzes biological datasets, such as genomics, proteomics, or ecological data, while working from a remote location. They use statistical and computational tools to interpret complex biological information, often collaborating with researchers and scientists virtually. Their work helps advance scientific understanding, inform healthcare decisions, and contribute to research projects in fields like genetics, drug discovery, and environmental science. Remote work allows them to contribute to international teams and organizations without being tied to a physical lab or office.

What are the key skills and qualifications needed to thrive as a remote biological data analyst?

A Remote Biological Data Analyst should have a strong background in biology, statistics, and data analysis, often supported by a degree in bioinformatics, computational biology, or a related field. Expertise with programming languages such as Python or R, familiarity with bioinformatics tools (like BLAST or Bioconductor), and experience using data visualization platforms are typically required. Attention to detail, strong problem-solving abilities, and clear written communication are crucial soft skills for effectively interpreting and conveying complex biological data. These competencies enable accurate data-driven insights, facilitate remote collaboration, and support impactful biological research outcomes.

What are some common challenges faced by remote biological data analysts, and how can they be addressed?

One common challenge for remote Biological Data Analysts is effective communication and collaboration with research teams, as projects often require close coordination with biologists, statisticians, and IT professionals. To address this, it's important to proactively schedule regular virtual meetings, use collaborative platforms for data sharing, and maintain clear documentation of analyses. Additionally, managing large datasets remotely can be challenging, so familiarity with cloud-based tools and secure data access protocols is essential. Staying organized and leveraging project management tools can further help ensure smooth workflow and timely delivery of results.

What are the most commonly searched types of Biological Data Analyst jobs in Florida?

The most popular types of Biological Data Analyst jobs in Florida are:

What job categories do people searching Remote Biological Data Analyst jobs in Florida look for?

The top searched job categories for Remote Biological Data Analyst jobs in Florida are:

What cities in Florida are hiring for Remote Biological Data Analyst jobs?

Cities in Florida with the most Remote Biological Data Analyst job openings:

Infographic showing various Remote Biological Data Analyst job openings in Florida as of August 2026, with employment types broken down into 2% Internship, 73% Full Time, 8% Part Time, 2% Temporary, and 15% Contract. Highlights an 100% Remote job distribution.

Data Analyst

Jacksonville, FL • Remote

Oates Energy
Utilities • 11 - 50 employees

$36 - $59/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

This is a remote position.

Summary
Our management-oriented team is looking for a driven Data Analyst to help convert unstructured data into strategic business intelligence. In this vital role, you will analyze intricate datasets to guide high-level decision-making and enhance operational workflows. The perfect fit will bring a solid grasp of analytical techniques and a meticulous approach to detail, guaranteeing that insights are delivered with clarity to all stakeholders. This position is essential for spotting emerging trends, streamlining operations, and supplying the numerical evidence needed to fuel company expansion in a dynamic setting.

Responsibilities
  • Gather, clean, and verify extensive data from multiple channels to guarantee precision and reliability.
  • Conduct statistical evaluations and modeling to detect patterns and relationships that shape business strategy.
  • Create and sustain detailed reports, dashboards, and visual displays to highlight key performance metrics for executive leadership.
  • Partner with cross-departmental groups to establish data needs and convert business inquiries into specific analytical projects.
  • Oversee data integrity and establish protocols to minimize reporting errors or discrepancies.
  • Deliver insights and strategic recommendations to management, converting complex technical outcomes into accessible language.
  • Continuously optimize analytical workflows and software to boost efficiency and the quality of insights provided.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a comparable discipline.
  • One to three years of practical experience in data analysis, ideally within a corporate or management context.
  • Competence in data analysis software and coding languages including SQL, Python, R, or advanced Excel.
  • Strong capability in data visualization using platforms such as Tableau, Power BI, or equivalent tools.
  • Superior problem-solving abilities paired with a logical mindset for dissecting complex information.
  • Exceptional written and verbal communication skills, with the capacity to explain technical concepts to non-technical audiences.
  • Keen attention to detail and a dedication to upholding rigorous standards of data accuracy.
  • Familiarity with agile methodologies and experience collaborating within diverse teams.
Benefits
  • Competitive salary commensurate with experience.
  • Comprehensive health, dental, and vision insurance coverage.
  • 401(k) retirement plan with company matching.
  • Paid time off, including holidays, vacation, and sick leave.
  • Professional development opportunities and tuition reimbursement.
  • Flexible work arrangements and remote work options.
  • Employee wellness programs and gym membership subsidies.
  • Life and disability insurance.
EEO Statement
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.