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Remote Materials Science Jobs in Berkeley, CA (NOW HIRING)

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

We make it effortless for companies to find the best materials and suppliers for their needs ... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ...

YO AI Labs

GIS/Geospatial Expert

San Francisco, CA · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their ... Science . No prior AI training experience is required. What matters most is your ability to apply ...

Enara Health

Remote Nutrition Specialist

San Mateo, CA · Remote

$30 - $40/hr

Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ... materials based on available information. These tools assist our recruitment team but do not ...

Enara Health

Remote Nutrition Specialist

San Mateo, CA · On-site +1

$30 - $40/hr

Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ... materials based on available information. These tools assist our recruitment team but do not ...

Enara Health

Remote Nutrition Specialist

San Mateo, CA · Remote

$30 - $40/hr

Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ... materials based on available information. These tools assist our recruitment team but do not ...

Descript

Lead Data Scientist, Product

San Francisco, CA · On-site +1

$200K - $250K/yr

... raw materials (passionate user community, great product, large market) for growth, but is still ... We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a ...

TeamCivX

Client Services Associate

Orinda, CA · Remote

$40/hr

Experience with remote work and comfort working in a fully remote environment * Must be able to ... Carefully proofreading materials and reviewing all drafts to ensure client-readiness * Supporting ...

TeamCivX

Client Services Associate

Orinda, CA · Remote

$40/hr

Experience with remote work and comfort working in a fully remote environment * Must be able to ... Carefully proofreading materials and reviewing all drafts to ensure client-readiness * Supporting ...

IQVIA

Clinical Trial Psych Rater

San Francisco, CA · Remote

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... Our team combines deep scientific expertise with cutting-edge technology to deliver high-quality ...

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Showing results 21-40

All JobsMaterials Science JobsRemote Materials Science JobsRemote Materials Science Jobs in Berkeley, CA

Remote Materials Science information

See Berkeley, CA salary details

$64.9K

$151.8K

$211.8K

How much do remote materials science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote materials science in Berkeley, CA is $151,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $204,500.00 per year, depending on experience, location, and employer.

What is a remote materials science?

A Remote Materials Science job involves researching, analyzing, and developing materials while working remotely. Professionals in this field study the properties and applications of metals, polymers, ceramics, and composites, often using virtual simulations, data analysis tools, and remote lab access. They collaborate with teams via digital platforms, conduct experiments, and optimize materials for industries like aerospace, electronics, and healthcare. This role requires strong technical skills, self-motivation, and the ability to communicate findings effectively with remote teams.

What are the typical responsibilities of a remote materials science professional, and how does the remote aspect impact daily work?

As a Remote Materials Science professional, your daily tasks often include analyzing materials data, conducting research projects, running simulations, preparing technical reports, and collaborating with engineering or R&D teams via virtual meetings. The remote environment means you’ll rely heavily on digital collaboration tools for sharing results and coordinating experiments, and may need to be proactive in communicating with colleagues across time zones. While you may occasionally visit laboratories for hands-on testing, most work is completed independently from your home or a remote office. This setup allows for increased flexibility but also requires strong self-motivation and organizational skills to manage multiple projects efficiently.

What are the key skills and qualifications needed to thrive in the remote materials science position, and why are they important?

To thrive in Remote Materials Science, you need a solid background in materials engineering or chemistry, data analysis, and scientific research, typically with at least a bachelor's or master's degree in a related field. Familiarity with simulation software (such as MATLAB, COMSOL, or Materials Studio), laboratory data management tools, and possibly industry certifications can be highly beneficial. Strong communication, time management, and problem-solving skills are essential for effective remote collaboration and project completion. These capabilities are crucial for contributing to innovative materials solutions and achieving research or product development goals in a remote setting.

What are popular job titles related to Remote Materials Science jobs in Berkeley, CA?

For Remote Materials Science jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Materials Science jobs in Berkeley, CA look for?

The top searched job categories for Remote Materials Science jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Materials Science jobs?

Cities near Berkeley, CA with the most Remote Materials Science job openings:

Remote Materials Science jobs near you
Infographic showing various Remote Materials Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $151,798 per year, or $73 per hour.

Chemical Data Scientist

Valdera

San Francisco, CA • On-site, Remote

Full-time

Re-posted 20 days ago

Key responsibilities

  • Design and build pipelines to collect supplier data and chemical product information from various sources.

  • Develop and maintain web scrapers and automated ETL workflows to keep data current at scale.

  • Clean, normalize, and reconcile inconsistent supplier data into structured, standardized formats.

Job description

About Valdera:
At Valdera, we empower innovators to turn ideas into reality by transforming how manufacturers source materials. We make it effortless for companies to find the best materials and suppliers for their needs, enabling them to build high-quality products at scale and deliver them to millions of consumers worldwide.
We are a team of ambitious, results-driven individuals with a proven track record of working with Fortune 500 industrial manufacturers, beauty brands, and chemical companies. We are a fast-growing company that hires talented, hardworking people who excel in high-performance environments and want to grow their careers quickly.
Our culture is built for exceptional individuals to take on meaningful challenges, collaborate with the top minds in our industry, and see the direct impact of their work. If you're looking for a fast-paced environment where your ideas will drive real change, Valdera is the place for you.
Join us, and let's shape the future of manufacturing together.
Role Description:
We are hiring a Chemical Data Scientist to build and maintain the pipelines that keep Valdera's supplier and chemical product data accurate, current, and structured - the foundation every buyer and supplier relies on across Valdera's procurement platform.
Data quality plays a critical role at Valdera. When a buyer launches a request, they expect to be matched with the right suppliers and accurate specs on the first try. Delivering that depends on clean, current data - CAS numbers, specifications, certifications, and regulatory documents pulled from thousands of inconsistent, often messy sources. This requires strong data engineering fundamentals and a working knowledge of chemical industry data. For example, you might take dozens of differently structured chemical supplier catalogs and turn them into one clean, standardized product database.
You will take ownership of the full data pipeline - from scrapers and ETL workflows to data cleaning, matching, and classification models that connect suppliers to buyer requirements. You're energized by messy, real-world data and confident partnering with Supplier Management and Engineering to close coverage gaps. As a data-obsessed professional, you're dedicated to the accuracy our buyers and suppliers depend on.
Role Responsibilities:
  • Design and build pipelines to collect supplier data and chemical product information (specifications, CAS numbers, certifications, SDS/regulatory documents, NAICS classification of manufacturing plants) from supplier sites, distributor catalogs, trade databases, and other public and semi-structured sources
  • Develop and maintain web scrapers and automated ETL workflows to keep supplier and product data current at scale
  • Clean, normalize, and reconcile inconsistent supplier data into structured, standardized formats suitable for internal tools and analytics
  • Apply chemical domain knowledge to validate and enrich data - resolving product names, CAS numbers, synonyms, and specifications across suppliers
  • Evaluate and improve matching and classification models to map suppliers and products to buyer requirements, and to identify overlapping or equivalent chemical offerings
  • Partner with Supplier Management and Engineering to define data quality standards, identify gaps in supplier coverage, and prioritize new data sources.
  • Own pipeline health and data quality, and drive the KPIs that measure overall data coverage

Experience & Qualifications:
  • 5+ years of experience in a data science, data engineering, or applied data role, ideally with exposure to messy, real-world or industrial datasets.
  • Working knowledge of chemistry or chemical industry data - comfort with CAS numbers, chemical properties, SDS documents, NAICS classification, and supplier certifications
  • Strong Python skills, with experience building web scrapers and data pipelines
  • Experience with data cleaning and normalization at scale, and a good eye for spotting inconsistencies in unstructured data
  • Familiarity with building or applying matching, deduplication, or classification models (traditional ML or LLM-based approaches)
  • Hands-on experience using AI tools and LLMs to accelerate data extraction, enrichment, or engineering workflows
  • Startup mindset with a strong sense of ownership - comfortable working independently in a fast-moving, remote environment with ambiguous, evolving priorities

Salary Range:
Salary ranges are determined by multiple factors, including the labor market, market compensation bands, internal parity, and budget considerations. The final offer will be based on the candidate's individual skills, qualifications, location, and experience relative to the requirements of the role.
Benefits:
Valdera offers generous benefits to employees. You will be provided a more detailed breakdown of your options prior to joining Valdera.
Equal Opportunity Employer Statement:
Valdera is an equal-opportunity employer committed to building a diverse and inclusive team. We welcome applicants of all backgrounds and celebrate a culture that values varied perspectives, skills, and experiences. We are dedicated to maintaining a workplace free from discrimination, where everyone feels valued, respected, and empowered to contribute.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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