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Science Communication Jobs in California (NOW HIRING)

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site

$150K - $200K/yr

They have strong intuitions about image data, high expectations for rigorous experimental design, and the communication skills to make quantitative reasoning accessible to scientists with diverse ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

They have strong intuitions about image data, high expectations for rigorous experimental design, and the communication skills to make quantitative reasoning accessible to scientists with diverse ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

They have strong intuitions about image data, high expectations for rigorous experimental design, and the communication skills to make quantitative reasoning accessible to scientists with diverse ...

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Science Communication information

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$19.2K

$48.4K

$70.1K

How much do science communication jobs pay per year?

As of Jun 14, 2026, the average yearly pay for science communication in California is $48,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $54,800.00 per year, depending on experience, location, and employer.

How much do science communicators make?

Science communicators' salaries vary based on experience, education, and location, but typically range from $50,000 to $80,000 annually. Entry-level positions may start lower, while experienced professionals or those in senior roles can earn over $100,000. Skills in writing, public speaking, and familiarity with digital media can influence earning potential.

What types of projects or content do Science Communication professionals typically work on?

Science Communication professionals often create a wide variety of content including articles, press releases, social media posts, multimedia presentations, infographics, and educational resources. They may also organize public lectures, outreach events, or collaborate on video and podcast production. Typically, they work closely with scientists, educators, and media teams to ensure accurate and engaging messaging. The role requires balancing scientific accuracy with accessibility for non-expert audiences, making it both challenging and intellectually rewarding.

What does a communication scientist do?

A communication scientist studies how information is transmitted and received, often analyzing media, messages, and audience responses. They use research methods, data analysis, and communication theories to improve understanding and effectiveness of communication strategies across various platforms.

What jobs are there in science communication?

Jobs in science communication include science writers, public information officers, science educators, and media specialists who translate complex scientific concepts for diverse audiences. These roles often require strong writing, presentation skills, and knowledge of scientific topics, with opportunities in academia, government agencies, museums, and media organizations.

Is science communication a good career?

Science communication is a growing field that involves translating complex scientific information into accessible formats for diverse audiences. It often requires strong writing, presentation skills, and knowledge of scientific topics, with opportunities in media, education, and public outreach. Job stability and salary vary depending on experience, employer, and location.

What are the key skills and qualifications needed to thrive in the Science Communication position, and why are they important?

To excel in Science Communication, you need a solid foundation in scientific knowledge, excellent written and verbal communication abilities, and typically a relevant degree in science or communications. Familiarity with digital publishing platforms, social media management tools, and sometimes science writing certifications are commonly required. Strong interpersonal skills, creativity, and the ability to distill complex concepts into engaging content set standout candidates apart. These skills ensure scientific information is accurately and compellingly communicated to diverse audiences, facilitating better public understanding and engagement.

What is a Science Communication job?

A Science Communication job involves translating complex scientific concepts into clear, engaging, and accessible information for the public, policymakers, or specific audiences. Professionals in this field work in media, education, research institutions, or governmental organizations, using various formats like articles, social media, videos, and public talks. The goal is to bridge the gap between scientists and the public, ensuring accurate and compelling science storytelling.

What are the most commonly searched types of Science Communication jobs in California? The most popular types of Science Communication jobs in California are:
What are popular job titles related to Science Communication jobs in California? For Science Communication jobs in California, the most frequently searched job titles are:
What job categories do people searching Science Communication jobs in California look for? The top searched job categories for Science Communication jobs in California are:
What cities in California are hiring for Science Communication jobs? Cities in California with the most Science Communication job openings:
Science Communication jobs near you
Infographic showing various Science Communication job openings in California as of June 2026, with employment types broken down into 2% Internship, 78% Full Time, 11% Part Time, 5% Temporary, and 4% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $48,421 per year, or $23.3 per hour.
Quantitative Biologist

Quantitative Biologist

Arcadia Science

Emeryville, CA • On-site

$150K - $200K/yr

Full-time

Posted 13 days ago

Job description

A Bit About Us
We are Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and make our work broadly useful.
The Opportunity
We're closing the gap between biological data and biological understanding. Our Validation team does this by closing the design-build-test-learn loop through lab validation across diverse organisms. Read more about our work through our publications.
We are seeking a Quantitative Biologist to join our Validation team with strong expertise in using computational analyses across modalities and biological scales to extract meaning from complex data, identifying the limits of existing analytical approaches, and developing new ones to address them. In this role, you will work shoulder-to-shoulder with experimental biologists, and bring your own firsthand experience at the bench to inform how data is collected, analyzed, and interpreted. You'll work with imaging modalities (Raman spectroscopy, coherent Raman imaging, live-cell microscopy, quantitative phase imaging) and a range of other quantitative measurements across diverse organisms. Your contributions will be instrumental in validating existing tools at Arcadia, shaping how we design and interpret experiments, identifying potential assets, and building robust analytical infrastructure that scales across the team.
Top candidates are rigorous, collaborative scientists who are equally at home writing computational pipelines and sitting down with a wet-lab colleague to think through a statistical analysis. They have strong intuitions about image data, high expectations for rigorous experimental design, and the communication skills to make quantitative reasoning accessible to scientists with diverse backgrounds. They have hands-on bench experience, generating biological data themselves and understanding the experimental realities that shape what analysis is even possible. Enthusiasm and independent documentation for participation in open science is also required as we routinely share our findings via our open-source pubs.
Key Responsibilities
  • Design and implement software for signal processing, image analysis, and quantitative interpretation of experimental data
  • Develop and maintain scalable workflows and pipelines that apply these methods to high-dimensional phenotypic data across diverse data types
  • Collaborate with experimental biologists to design statistically sound experiments before data is collected
  • Build and apply statistical and machine learning models to interpret complex biological datasets, including mixed-effects models, dimensionality reduction, and other approaches
  • Review and improve code written by scientists across the team, promoting reproducible and well-documented analytical practices
  • Develop SOPs and shared infrastructure (pipelines, notebooks, documentation) that help the broader team work more quantitatively and independently over time
  • Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work

Qualifications
  • Ph.D. or equivalent experience in biology, bioengineering, computational biology, biophysics, cell biology, or a related field
  • At least 3 years of full-time relevant scientific experience post-PhD or equivalent
  • Strong foundation in statistically driven experimental design with hands-on experience applying these to biological datasets
  • Track record of working directly with experimental scientists to design, analyze, and interpret studies
  • Demonstrated expertise developing software for biological image analysis
  • Experience with statistical or machine learning methods applied to phenotypic biological data, including spectral or image data
  • Proficiency in Python and/or R for data analysis, pipeline development, and code review
  • Experience with instrument control, data acquisition software, or pipelines connecting hardware to analysis
  • Direct bench experience generating biological data, with a working understanding of common sources of experimental variability and how they manifest in downstream analysis
  • Excellent verbal and written science communication skills for both general and technical audiences, as we expect all scientists to actively draft and openly publish their results

$150,000 - $200,000 a year
Successful applicants can expect to be compensated between $150,000-$200,000 with benefits and a competitive equity offering, depending on experience level. The position will require the individual to be on-site at our Emeryville, California headquarters.
Arcadia is an equal opportunity workplace; we welcome people from all backgrounds and communities. We provide competitive compensation and practical benefits to keep you happy and healthy so that you can do your best work.
Please note that an offer of employment at Arcadia is contingent upon the successful clearance of a reference and background check.

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