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Science Communicator Jobs in California (NOW HIRING)

The Science Director will oversee and train all personnel in the Biology Department and be responsible for building the organization's capacity and partnerships to generate and communicate scientific ...

Create written and verbal communication pieces in collaboration with the Advancement Director to support fundraising Provide Science oversight for proposals and pitches for foundation and private ...

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Science Communicator information

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$24.2K

$47.8K

$78K

How much do science communicator jobs pay per year?

As of Aug 9, 2026, the average yearly pay for science communicator in California is $47,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $51,300.00 per year, depending on experience, location, and employer.

What is the job of a science communicator?

A science communicator explains scientific concepts and research to the public, often through writing, speaking, or multimedia presentations. They aim to make science accessible and engaging, using skills in communication, storytelling, and scientific knowledge. This role may involve working with media outlets, educational institutions, or research organizations to promote understanding of science topics.

What does a science communicator do?

A Science Communicator translates complex scientific information into clear, engaging content for the public, policymakers, or industry professionals. They work in various formats, including writing, video production, public speaking, and social media. Their goal is to bridge the gap between scientists and audiences, making science accessible and relevant. Science Communicators may work for universities, media outlets, museums, or research organizations.

What jobs are there in science communication?

Jobs in science communication include science writer, science journalist, public information officer, science outreach coordinator, and science educator. These roles involve translating complex scientific concepts into accessible language for diverse audiences, often requiring strong writing, presentation skills, and knowledge of scientific topics.

What are the key skills and qualifications needed to thrive as a science communicator?

To thrive as a Science Communicator, you need a strong foundation in scientific knowledge, clear writing and speaking abilities, and often a degree in science or communication. Familiarity with content management systems, multimedia editing tools, and social media analytics platforms is typically required. Creativity, adaptability, and the ability to translate complex concepts for diverse audiences are valuable soft skills in this field. These competencies ensure effective dissemination of scientific information and engagement with the public or specific target audiences.

What are typical challenges science communicators face in their day-to-day work?

Science Communicators often encounter the challenge of translating complex scientific concepts into accessible and engaging messages for non-expert audiences. Balancing scientific accuracy with simplicity, while tailoring the message to different media platforms, can be demanding. You may also work closely with researchers, editors, and outreach teams, requiring strong collaboration and time-management skills to meet deadlines. Success in this role often depends on staying updated with current scientific breakthroughs and adapting your communication style to reach varied audiences effectively.

How do you become a science communicator?

To become a science communicator, individuals typically pursue a background in science or a related field, develop strong communication skills, and gain experience through writing, public speaking, or media production. Many professionals also build a portfolio of work, stay informed about scientific developments, and may pursue relevant certifications or advanced degrees to enhance credibility.

How much do science communicators get paid?

Science communicators' salaries vary depending on experience, education, and location, but typically range from $40,000 to $80,000 annually. Those with advanced degrees or specialized skills in media, writing, or public speaking may earn higher salaries or work in more prominent roles such as science editors or outreach managers.
What are the most commonly searched types of Science Communicator jobs in California? The most popular types of Science Communicator jobs in California are:
What are popular job titles related to Science Communicator jobs in California? For Science Communicator jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Science Communicator jobs? Cities in California with the most Science Communicator job openings:
Infographic showing various Science Communicator job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 29% Part Time, 2% Temporary, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $47,757 per year, or $23 per hour.

Associate Director, Medical Analytics and Exploratory Data Science

Revolution Medicines

Redwood City, CA โ€ข Hybrid

$72K - $72K/yr

Full-time

Re-posted 26 days ago


Job description

The Opportunity:

We are seeking a highly capable Associate Director of Biostatistics to join our Medical Analytics and Exploratory Data Science Biostatistics group within our Biostatistics organization. This role will play a critical part in the design, analysis, and interpretation of exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) studies. The successful candidate will serve as a key statistical contributor and emerging leader, partnering closely with cross-functional teams to deliver high-quality, data-driven insights that support scientific understanding and evidence generation.

  • Lead statistical design, analysis, and interpretation for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

  • Partner closely with other subfunctions within quantitative sciences and with cross-functional teams, including clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial, to execute evidence generation plans.

  • Apply appropriate statistical methodologies, including survival analysis, machine learning, and casual inference approaches, to address complex scientific and medical questions in oncology.

  • Contribute to the development of analysis plans, technical specifications, and interpretation of results under general direction from senior statistical leadership.

  • Support cross-functional evidence generation planning by providing statistical input into study design, feasibility, and analysis strategies.

  • Review and oversee statistical deliverables produced by internal programmers or external vendors/contractors to ensure scientific quality and consistency with standards.

  • Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

  • Assist with the preparation of scientific communications, including abstracts, manuscripts, posters, and internal presentations.

Required Skills, Experience and Education:

  • Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 years (for M.S.) of experience in biotech/pharma industry as a statistician.

  • Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

  • Hands-on experience in exploratory analysis of oncology trials.

  • Ability to work independently and within a team.

  • Ability to independently execute statistical analyses for moderately complex projects with guidance from senior statisticians.

  • Familiar with regulatory requirements related to biostatistical activities and clinical trials.

  • Strong verbal and written communication skills are required.

  • Strong interpersonal and project management skills are essential.

  • Proficiency in SAS and/or R.

Preferred Skills:

  • Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

  • Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data.ย 

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