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Remote Science Communicator Jobs in Florida (NOW HIRING)

STRATEGYGEN CO

Principal Data Scientist

Jacksonville, FL · Remote

$130K - $165K/yr

This role sits at the intersection of regulatory data science, risk modeling, and federal program ... Strong ability to communicate technical methodology and findings clearly to non-technical and ...

Relativity

Senior Applied Scientist

Jacksonville, FL · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Communicate complex data science and machine learning concepts clearly and effectively to ...

Audacy, Inc.

Audience Data Operations Coordinator

Miami, FL · Remote

$70K - $80K/yr

Remote Pay Transparency: The anticipated starting salary range is $70,000-80,000/yr. Salary to be ... Bachelor's degree in Marketing, Business, Data Science, Communications, or related field. * Strong ...

Relativity

Principal Applied Scientist

Jacksonville, FL · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ...

Valeris

Executive Case Manager (Remote)

Orlando, FL · Remote

Valeris works on behalf of life sciences companies to improve the patient experience so that ... All communications with the client's field teams will remain compliant and adhere to ways of ...

NTT DATA Services

Senior Data Scientist

Tampa, FL · On-site +1

... communication. - Has an understanding of business growth areas & how to utilize important data ... Working on projects leveraging your expertise in data science, artificial-intelligence and machine ...

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Remote Science Communicator information

What are some common challenges faced by remote science communicators, and how can they be addressed?

Remote science communicators often face challenges such as effectively engaging audiences without in-person interaction, managing time zones when collaborating with international teams, and ensuring scientific accuracy while making complex topics accessible. To address these challenges, it's important to leverage digital communication tools, establish clear workflows for team collaboration, and continuously update one's knowledge of both science and communication best practices. Networking with other science communicators and seeking feedback on your work can also help you refine your messaging and stay connected to the broader community.

What is the difference between Remote Science Communicator vs Remote Science Writer?

AspectRemote Science CommunicatorRemote Science Writer
CredentialsBackground in science, communication skillsScience knowledge, writing proficiency
Work EnvironmentVideos, presentations, live engagementArticles, reports, blog posts
Employer & IndustryEducational institutions, media, nonprofitsPublishing, media, research organizations
Search & ComparisonOften compared for content creation roles

Remote Science Communicators focus on engaging audiences through multimedia and live formats, emphasizing science education and outreach. Remote Science Writers primarily produce written content like articles and reports. While both roles require science knowledge, communication skills, and remote work experience, their main mediums differ—visual and oral versus written. Understanding these distinctions helps job seekers identify roles aligned with their skills and career goals.

What are Remote Science Communicators?

Remote Science Communicators are professionals who explain scientific concepts, research, and discoveries to a broader audience using digital platforms. They often work from home or any location with internet access, creating written content, videos, podcasts, or social media posts. Their goal is to make complex scientific information accessible and engaging to the public, students, or specific communities. This role requires strong communication skills, a good understanding of science, and proficiency with digital tools for remote work.

What are the key skills and qualifications needed to thrive as a Remote Science Communicator, and why are they important?

To thrive as a Remote Science Communicator, you need a solid background in science (often a degree in a relevant field), exceptional writing and verbal communication skills, and experience translating complex concepts for diverse audiences. Familiarity with digital content creation tools, social media platforms, and content management systems is typically required. Creativity, adaptability, and the ability to engage audiences remotely are standout soft skills in this role. These competencies ensure accurate, accessible science communication that informs and inspires the public across digital channels.
What are popular job titles related to Remote Science Communicator jobs in Florida? For Remote Science Communicator jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Science Communicator jobs in Florida look for? The top searched job categories for Remote Science Communicator jobs in Florida are:
What cities in Florida are hiring for Remote Science Communicator jobs? Cities in Florida with the most Remote Science Communicator job openings:
Remote Science Communicator jobs near you
Data Scientist - Machine Learning Engineer

Data Scientist - Machine Learning Engineer

Lee Health

Fort Myers, FL • On-site, Remote

$90K - $117K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Lee Health rating

6.9

Company rating: 6.9 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

452nd of 870 rated healthcare providers

Job description

Location: Remote - Florida
Department: Analytics Center of Excellence
Work Type: Full Time
Shift: Shift 1/ to
Minimum to Midpoint Pay Rate: $90,667.20 - $117,852.80 / Annual
Help Power Clinical Innovation Through AI
Lee Health is expanding our Artificial Intelligence capabilities as part of our enterprise AI growth strategy. We are seeking a Data Scientist / Machine Learning Engineer who will play a critical role in developing AI-driven solutions that directly support clinical end users - including physicians, nurses, advanced practice providers, and care teams.
This is a newly created role with a strong focus on translating advanced analytics into practical, scalable tools that improve clinical decision-making, patient safety, quality outcomes, and operational efficiency.
Position Summary
The Data Scientist / ML Engineer collaborates closely with clinical stakeholders, operational leaders, and IT teams to solve real-world healthcare challenges using advanced data science and machine learning techniques.
This role goes beyond model development - it ensures that AI solutions are:
  • Clinically relevant
  • Operationally feasible
  • Seamlessly integrated into provider workflows
  • Designed to enhance-not burden-the end user experience

You will design scalable data architectures, build predictive and prescriptive models, and translate complex analytics into actionable tools that clinicians can trust and use effectively in patient care environments.
What You'll Do
🔹 Clinical-Focused AI & Machine Learning
  • Partner directly with physicians, nursing leaders, and clinical teams to understand workflow challenges and decision-support needs
  • Develop predictive and prescriptive models to support:
    • Clinical risk stratification
    • Early detection and intervention strategies
    • Quality improvement initiatives
    • Patient safety enhancements
    • Operational throughput and care coordination
  • Apply advanced ML techniques including:
    • GLM / regression
    • Random forests, boosting, and trees
    • Hierarchical clustering
    • Text mining and NLP
    • Deep learning (CNNs, RNNs)
    • Graph and pattern analysis
🔹 Clinical Workflow Integration
  • Ensure models are designed for real-world clinical adoption
  • Collaborate with Epic and enterprise application teams to embed analytics into clinical systems
  • Validate model performance and usability in partnership with end users
  • Translate model outputs into intuitive dashboards, alerts, and decision-support tools
🔹 Enterprise Data & Architecture
  • Design scalable data model architectures across multiple disparate systems
  • Work with clinical and operational data sources (e.g., Epic and enterprise systems)
  • Promote shared AI infrastructure and reusable solutions to prevent redundancy
  • Ensure governance, performance optimization, and strategic alignment
🔹 Communication & Change Enablement
  • Present complex analytical findings to clinical audiences with varying levels of technical understanding
  • Use storytelling and visualization techniques to build trust in AI solutions
  • Support adoption efforts through education and collaboration
Required Qualifications
Education
  • Bachelor's degree in Information Systems, Computer Science, Mathematics, Engineering, Statistics, or related scientific discipline required
  • Master's or PhD with specialization in Machine Learning or Artificial Intelligence preferred
Experience
  • Minimum 4 years of experience designing and managing complex data models across multiple systems
  • Experience leading ML projects that support operational or clinical decision-making
  • Strong background in statistical analysis and advanced model development
  • Experience working with healthcare clinical data strongly preferred (e.g., Epic, Lawson)
  • Experience applying formal Quality Management methodologies (Lean, Six Sigma, TQM) preferred
Technical Skills
  • Proficiency in Python, R, SQL, SAS, MATLAB, SPSS, Excel, and/or C++
  • Knowledge of advanced statistical and data mining techniques
  • Experience with deep learning and modern AI frameworks
  • Strong understanding of generative AI and its future clinical applications
What Sets You Apart
  • Experience developing AI solutions that directly support clinicians
  • Ability to bridge technical and clinical domains
  • Strong interpersonal skills and comfort engaging with physician leadership
  • Exceptional presentation and storytelling abilities
  • Passion for responsible, ethical AI in healthcare
Why Join Lee Health?
Lee Health is one of Florida's largest and most respected healthcare systems, committed to improving lives through innovation and excellence in care. This role offers:
  • A foundational position within a growing enterprise AI program
  • Direct impact on patient care and clinical decision-making
  • Collaboration with executive, clinical, and technical leadership
  • Remote flexibility within Florida
  • The opportunity to shape the future of AI in healthcare

If you are excited about building AI solutions that clinicians rely on every day-and want to make a meaningful impact on patient care-we encourage you to apply.

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About Lee Health

Sourced by ZipRecruiter

Lee Health is one of the largest public health systems in the U.S. and one of the largest not-for-profit public health systems in Florida. With 4 acute care hospitals; Lee Memorial, Healthpark Medical Center, Cape Coral Hospital and Gulf Coast Medical Center, two specialty hospitals; Gaisano Children's Hospital and The Rehab Hospital. Lee Physician Group with over 80 practices throughout Southwest Florida, a Regional Cancer Center, seven outpatient centers, three walk-in clinics and two pediatric outpatient facilities. HEALTHGRADES ranks Lee Healths four acute care hospitals in the top 5% in the nation for overall clinical excellence in 2019, 2020, 2021 AND 2022 and is included in America's 250 Best Hospitals

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Fort Myers, FL, US

Year founded

1916

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