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Remote Life Science Jobs in Miami, FL (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245993 Location: Doral,FL,US Share job via: Share Data Scientist The ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

IQVIA

Associate Director, Data Analytics

Miami, FL · Remote

... life sciences. This role owns end-to-end delivery across multiple workstreams, establishes ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Danaher

Technician Production Operations

Hialeah, FL · On-site +1

$15.50 - $19.50/hr

Are you ready to accelerate your potential and make a real difference within life sciences ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Buyer I

Miami, FL · On-site +1

Are you ready to accelerate your potential and make a real difference within life sciences ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Planning & Materials Supervisor

Miami, FL · On-site +1

Are you ready to accelerate your potential and make a real difference within life sciences ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

AIS Inc

Data Scientist

Miami, FL · Remote

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

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All JobsLife Science JobsRemote Life Science JobsRemote Life Science Jobs in Miami, FL

Remote Life Science information

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How much do remote life science jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote life science in Miami, FL is $15.47, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $15.58 per hour, depending on experience, location, and employer.

What is a remote life science?

A Remote Life Science job involves working in the fields of biology, biotechnology, pharmaceuticals, or related disciplines from a remote location. These roles can include research, data analysis, regulatory affairs, medical writing, or sales within the life sciences industry. Advances in technology allow professionals to conduct virtual experiments, collaborate with teams globally, and analyze complex biological data remotely. Many remote positions require strong communication skills, proficiency in digital tools, and a solid understanding of scientific principles. Companies hiring for these roles may include pharmaceutical firms, biotech startups, academic institutions, and research organizations.

What are the key skills and qualifications needed to thrive in a remote life science position?

To excel in a Remote Life Science role, candidates typically need a background in biology, chemistry, or a related field along with strong analytical and research skills. Familiarity with industry-standard tools like electronic lab notebooks, statistical analysis software (e.g., R, Python), and relevant certifications such as a Life Sciences degree or specialized credentials may be required. Outstanding written and verbal communication skills, time management, and self-motivation are crucial soft skills for remote collaboration and project deadlines. These qualifications are vital for producing high-quality scientific work while effectively collaborating within virtual, multidisciplinary teams.

What are the typical challenges of working remotely in a life science role?

One of the main challenges of working remotely in a Life Science role is maintaining effective communication and collaboration with team members who may be located in different time zones or regions. Remote professionals must also adapt to working independently with minimal supervision, ensuring they stay organized and meet deadlines for research, analysis, or reporting. Utilizing collaboration tools, project management platforms, and virtual meetings becomes essential to stay engaged with colleagues and up-to-date on project progress. Despite these challenges, remote roles offer enhanced flexibility and often allow for a greater focus on in-depth research or data analysis, contributing to both personal and professional growth in the life sciences field.

What are the most commonly searched types of Life Science jobs in Miami, FL?

The most popular types of Life Science jobs in Miami, FL are:

What are popular job titles related to Remote Life Science jobs in Miami, FL?

For Remote Life Science jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Remote Life Science jobs in Miami, FL look for?

The top searched job categories for Remote Life Science jobs in Miami, FL are:

What cities near Miami, FL are hiring for Remote Life Science jobs?

Cities near Miami, FL with the most Remote Life Science job openings:

Remote Life Science jobs near you
Infographic showing various Remote Life Science job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $32,175 per year, or $15.5 per hour.

Data Scientist

Fort Lauderdale, FL • On-site, Remote

FitMatch
See more jobs at FitMatchexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

We are seeking a visionary, highly skilled, and impact-driven Data Scientist to join our Data Science team. This is a role designed for a creative problem solver and technical innovator, someone who can transform complex 3D body scan data into meaningful anthropometric insights and health metrics that improve real people's lives.
In this role, you will own the mission of transforming raw 3D body scan data into anthropometric measurements and health- and performance-related body metrics that drive real-world outcomes. If you want to move beyond passive model training and actively pioneer solutions to tangible physical challenges, this is your sandbox.
Key Responsibilities:
  • Train and improve models and algorithms to produce anthropometric measurements and health and performance-related body metrics from 3D body scans.
  • Work on 3D data processing, object recognition, and spatial mapping
  • Conduct testing, debugging, and optimization of the algorithms
  • Collaborate with software engineers to bring the models to production environments.
  • Leverage AI-powered coding assistants such as Cursor for productivity.
  • Produce analytics, accuracy, and performance reports for stakeholders.
  • Participate in R&D initiatives and implement ideas from research papers

Compensation, Perks & Benefits
  • Generous PTO policy + 12 paid US holidays
  • Medical, dental, and vision insurance for you and your family
  • Paid Parental Leave
  • 401k
About Us
Fit:Match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole make significant strides towards sustainable apparel retail. We are looking for people who share the same passion.
Fit: Match is backed by an investor group including experienced angel investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:Match is, without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:Match, you would work cross-functionally with other top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an out-of-the-box growth hack, and live for reimagining and trying new things.
Department Data Science Role Data Scientist Locations Fort Lauderdale, New York, NY, San Francisco, CA, Seattle, WA Remote status Fully Remote

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