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Remote Science Communication Jobs in Birmingham, AL

micro1 AI

Medical Billing Specialist

Birmingham, AL · Remote

$50 - $80/hr

Role Title: Medical Writer / Clinical Document Author Role Type: Contractor Location: Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer's project

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All JobsScience Communication JobsRemote Science Communication JobsRemote Science Communication Jobs in Birmingham, AL

Remote Science Communication information

See Birmingham, AL salary details

$23K

$45.4K

$74K

How much do remote science communication jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote science communication in Birmingham, AL is $45,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,100.00 and $48,700.00 per year, depending on experience, location, and employer.

What is remote science communication?

Remote science communication involves sharing scientific information, research, and discoveries with diverse audiences using digital platforms, rather than in-person events. Professionals in this field may create content for websites, social media, podcasts, webinars, or virtual conferences, aiming to make complex scientific topics accessible and engaging. This role requires strong communication skills, science literacy, and the ability to use digital tools effectively. Remote science communicators often collaborate with researchers, educators, and media outlets from anywhere in the world.

What are some common challenges faced by professionals in remote science communication roles, and how can they be addressed?

One common challenge in remote science communication is ensuring clear and engaging messaging without face-to-face interaction, which can make it harder to gauge audience understanding. Collaborating across time zones and managing effective communication with scientists and stakeholders can also be complex. To address these, remote science communicators often rely on regular virtual meetings, collaborative tools, and clear documentation of project goals and feedback. Building a strong digital presence and adapting content for different online platforms are also key strategies for success in this role.

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 strong background in science, excellent writing or multimedia communication skills, and at least a bachelor's degree in a relevant field. Familiarity with digital communication tools, content management systems, and social media platforms is typically required, and certifications in science communication or digital marketing can be beneficial. Exceptional soft skills include creativity, adaptability, and the ability to translate complex scientific concepts into accessible language. These skills are crucial for effectively engaging diverse audiences and ensuring accurate dissemination of scientific information in a remote environment.

What is the difference between Remote Science Communication vs Remote Science Writing?

AspectRemote Science CommunicationRemote Science Writing
Required CredentialsScience degrees, communication skills, possibly certifications in science communicationScience degrees, strong writing skills, possibly certifications in technical or scientific writing
Work EnvironmentVirtual, often involves multimedia, presentations, and public engagementPrimarily virtual, focused on creating written content like articles, reports, and manuals
Employer & Industry UsageResearch institutions, science media outlets, educational organizationsScientific publishers, research organizations, educational platforms
Search & Comparison IntentUnderstanding roles involving science communication and outreachLooking for scientific writing opportunities and content creation roles

Remote Science Communication focuses on conveying scientific concepts through various media and engaging audiences, while Remote Science Writing emphasizes creating written scientific content. Both roles require science backgrounds but differ in their primary output and communication methods.

What are popular job titles related to Remote Science Communication jobs in Birmingham, AL?

For Remote Science Communication jobs in Birmingham, AL, the most frequently searched job titles are:

What job categories do people searching Remote Science Communication jobs in Birmingham, AL look for?

The top searched job categories for Remote Science Communication jobs in Birmingham, AL are:

What cities near Birmingham, AL are hiring for Remote Science Communication jobs?

Cities near Birmingham, AL with the most Remote Science Communication job openings:

Remote Science Communication jobs near you
Infographic showing various Remote Science Communication job openings in Birmingham, AL as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $45,351 per year, or $21.8 per hour.

Data Scientist (Remote)

Birmingham, AL • Remote

Talon Hiring Solutions
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Talon Hiring Solutionsexternal

$200K - $225K/yr

Full-time

Posted 2 days ago

New

Job description

Talon Hiring Solutions has a client that is looking for a Data Scientist to join the Data and Analytics Team.  This team owns the development of insights from extraction that power decision-making.  The role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems.  You will own the statistical modeling and feature engineering that exists in the data.  Our client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.

*This role is fully remote with some travel to the home office in Birmingham, AL*

What You'll Do
  • Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
  • Transform complex data into actionable insights that support business and customer decisions.
  • Develop and maintain features and training datasets within Snowflake and dbt.
  • Use Python and SQL to perform feature engineering, statistical analysis, and machine learning.
  • Validate and monitor model performance using appropriate metrics such as precision, recall, and AUC.
  • Deliver model outputs that can be integrated into BI tools and downstream platforms.
  • Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
  • Translate ambiguous business questions into well-defined modeling and analytics requirements.
  • Document models, features, assumptions, data lineage, experiments, and results to ensure solutions are reliable and reproducible.
  • Track and manage experiments using MLflow or similar tools.
  • Continuously improve data science, feature engineering, and predictive modeling capabilities.
What You'll Bring
  • 4+ years of hands-on experience in Data Science, Machine Learning, Analytics, or a related field.
  • Proven experience building and deploying predictive models in a business environment.
  • Strong Python skills, including experience with pandas, scikit-learn, and related data science libraries.
  • Strong SQL skills and experience working with large or complex datasets.
  • Experience with classification and regression modeling and model evaluation techniques.
  • Experience working with Snowflake or a similar cloud data platform.
  • Experience with Git, version control, code reviews, and standard software development practices.
  • Experience with feature engineering and building datasets for machine learning models.
  • Ability to turn ambiguous business problems into practical, data-driven solutions.
  • Strong communication skills and the ability to explain technical findings to non-technical audiences.
  • Strong documentation and organizational skills.
  • A collaborative, curious, and results-oriented mindset.
  • Experience in retail, CPG, consumer technology, or consumer hardware.
  • Experience with Snowpark, Snowflake ML Functions, dbt, or MLflow.
  • Experience working with feature stores.
  • Experience delivering machine learning outputs to BI, marketing, customer engagement, or other downstream platforms.