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Remote Science Communication Jobs in Berkeley, CA

MhyMatch

Data Scientist

San Francisco, CA · On-site +1

Remote/Hybrid Brief Overview of the Our Client is seeking a highly skilled Data Scientist to ... Strong communication skills with the ability to explain complex solutions to non-technical ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Excellent communication skills to both technical and non-technical audiences Base salary: $135,000 ... Department Data Science Role Tennis Team Locations San Francisco, CA - Remote Remote status Fully ...

Earnest

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

... and communicate analyses and insights to the Data team and broader organization. * Develop and ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

TeamCivX

Client Services Associate

Orinda, CA · Remote

$40/hr

... fully remote company, with partners and staff throughout California. Applicants must reside in ... Bachelor's Degree in Political Science, Communications or related field, or equivalent experience

TeamCivX

Client Services Associate

Orinda, CA · Remote

$40/hr

... fully remote company, with partners and staff throughout California. Applicants must reside in ... Bachelor's Degree in Political Science, Communications or related field, or equivalent experience

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... Exceptional written and verbal communication skills . Interview Process * Complete a short ...

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All JobsScience Communication JobsRemote Science Communication JobsRemote Science Communication Jobs in Berkeley, CA

Remote Science Communication information

See Berkeley, CA salary details

$30K

$59.3K

$96.7K

How much do remote science communication jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote science communication in Berkeley, CA is $59,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $63,700.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Remote Science Communication jobs in Berkeley, CA? For Remote Science Communication jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Science Communication jobs in Berkeley, CA look for? The top searched job categories for Remote Science Communication jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Science Communication jobs? Cities near Berkeley, CA with the most Remote Science Communication job openings:
Remote Science Communication jobs near you
Infographic showing various Remote Science Communication job openings in Berkeley, CA as of July 2026, with employment types broken down into 75% Full Time, 12% Part Time, 2% Temporary, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $59,252 per year, or $28.5 per hour.

Data Scientist

MhyMatch

San Francisco, CA • On-site, Remote

Full-time

Medical, Retirement, PTO

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

Job description

Location: Bangalore, San Francisco (US)

Mode of Work: Remote/Hybrid

Brief Overview of the Job Description:
Our Client is seeking a highly skilled Data Scientist to leverage large volumes of data using modern tools and technologies to uncover insights, build predictive models, and contribute to strategic decision-making. This role requires a blend of technical data science expertise, analytical problem solving, and a passion for transforming data into actionable insights.

Key Responsibilities:

  • Design and implement statistical models and machine learning algorithms to analyze diverse sources of data and achieve targeted outcomes.
  • Lead data mining and collection strategies to improve data reliability, efficiency, and quality.
  • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
  • Continuously evaluate and identify new technologies, tools, and data sets to enhance the analytics capabilities of the organization.
  • Present findings to stakeholders, translating complex data insights into understandable business decisions.
  • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
  • Ensure data accuracy and integrity by performing thorough testing and validation.
  • Apply statistical and machine learning techniques to solve complex business problems.
  • Create visualizations and dashboards to monitor and report on key metrics and trends.
  • Participate in code reviews to ensure code quality and adherence to best practices.
  • Mentor junior data scientists and provide technical guidance.
  • Contribute to the continuous improvement of data science processes and methodologies.


Technologies to be Used:

  • Python

  • SQL

  • Tableau

  • Power BI

  • TensorFlow

  • PyTorch

  • Various data sources (structured and unstructured)

Qualifications:

  • Masters degree or Ph.D. in Data Science, Computer Science, Statistics, or a closely related field.
  • Certifications in relevant technologies and frameworks are advantageous.
  • Minimum 4 years of relevant experience

Knowledge:

Expert understanding of data science, machine learning, AI, and advanced analytics techniques.

Skills:

  • Advanced proficiency in Python and R for statistical programming and model development.
  • Strong experience with SQL and database management systems.
  • Skilled in data visualization tools such as Tableau or Power BI to convey insights visually.
  • In-depth knowledge of machine learning frameworks like TensorFlow or PyTorch.
  • Ability to work with both structured and unstructured data from various sources.

Attitude:

  • Analytical and critical thinker with meticulous attention to detail.

  • Ability to work in a dynamic environment and adapt to evolving business needs.

  • Strong communication skills with the ability to explain complex solutions to non-technical stakeholders.

  • Team player who is also capable of working independently.

Work Environment:

  • A collaborative and innovative workplace focused on leveraging data to solve complex business challenges.
  • Supportive team culture promoting continuous professional development and growth.

Key Performance Indicators:

  • Accuracy and performance of statistical models and machine learning algorithms.
  • Efficiency and reliability of data mining and collection strategies.
  • Impact of data-driven solutions on business outcomes.
  • Adoption and integration of new technologies and data sets.
  • Effectiveness of data presentations and stakeholder communications.
  • Quality and scalability of data pipelines and API integrations.
  • Accuracy and integrity of data maintained through testing and validation.
  • Innovation in applying statistical and machine learning techniques.
  • Utility and usability of visualizations and dashboards created.
  • Code quality and adherence to best practices through code reviews.
  • Guidance and development provided to junior data scientists.
  • Continuous improvement of data science processes and methodologies.


Salary and Benefits:

  • Competitive salary package with performance bonuses.

  • Health insurance, retirement plans, and paid time off.

  • Opportunities for continuous learning and professional development through workshops, courses, and conferences.

  • Flexible working hours and potential for remote work arrangements.

Company Overview:
Our client is a leading product-based software company, dedicated to creating innovative and efficient solutions that address complex business challenges. Their suite of products enhances operational efficiencies and drives digital transformation, empowering businesses to achieve sustainable growth and competitive advantage. The company is committed to creating a diverse environment and is proud to be an equal opportunity employer, encouraging applications from all backgrounds and cultures.

Diversity Policy:

We are committed to creating a diverse environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Career Growth:

Clear pathways for career advancement in a supportive environment aimed at fostering professional growth and exploration of new technologies in the field of data science.

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