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Materials Informatics Jobs in California (NOW HIRING)

Informaticist-Clinical

Rancho Mirage, CA · On-site

$39.04 - $59.31/hr

Clinical Informatics Job Objective: Supports the Medical Staff and Acute Care Services to enable ... Oversees Epic Principal trainer on content development of EMR educational materials for the medical ...

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Materials Informatics information

See California salary details

$41.9K

$84.5K

$123.4K

How much do materials informatics jobs pay per year?

As of Jul 12, 2026, the average yearly pay for materials informatics in California is $84,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $98,700.00 per year, depending on experience, location, and employer.

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

To thrive in Materials Informatics, you need a strong background in materials science combined with expertise in data analysis, machine learning, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages such as Python, data visualization tools, scientific databases, and materials-specific simulation software is essential. Strong problem-solving abilities, clear communication, and the ability to work collaboratively across interdisciplinary teams are valuable soft skills for this role. These competencies are crucial for transforming complex materials data into actionable insights, accelerating materials discovery and innovation.

What is a Materials Informatics job?

A Materials Informatics job involves using data science, machine learning, and computational techniques to analyze and predict material properties, accelerating material discovery and optimization. Professionals in this field work at the intersection of materials science and informatics, leveraging large datasets and models to guide experiments and improve material performance. Common responsibilities include database management, algorithm development, and collaboration with researchers to interpret results and apply insights to real-world applications.

What are typical daily responsibilities for someone working in Materials Informatics?

Professionals in Materials Informatics commonly spend their days analyzing large-scale experimental and simulation data, developing and testing machine learning models, and collaborating closely with materials scientists, engineers, and software developers. They are often involved in designing data pipelines, automating analysis workflows, cleaning and curating materials datasets, and presenting their findings to both technical and non-technical stakeholders. Regular tasks may also include documenting methodologies, publishing research outcomes, and participating in team meetings to align projects with organizational goals. By working at the intersection of data science and materials research, they help accelerate the discovery and development of new materials.

What are the most commonly searched types of Materials Informatics jobs in California? The most popular types of Materials Informatics jobs in California are:
What are popular job titles related to Materials Informatics jobs in California? For Materials Informatics jobs in California, the most frequently searched job titles are:
What job categories do people searching Materials Informatics jobs in California look for? The top searched job categories for Materials Informatics jobs in California are:
What cities in California are hiring for Materials Informatics jobs? Cities in California with the most Materials Informatics job openings:
Applied Clinical Informatics Faculty

Applied Clinical Informatics Faculty

University of California, San Francisco

San Francisco, CA • On-site

$114K - $344K/yr

Full-time

Posted 23 days ago


University Of California San Francisco rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

31st of 552 rated colleges and universities


Job description

Application Window
Open date: February 20, 2026
Most recent review date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Aug 20, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Applied Clinical Informatics Faculty Search
The newly-established UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT) within the Department of Medicine is seeking faculty at all career levels with background, skills, and a history of success in applied clinical informatics research, under the leadership of founding division chief Julia Adler-Milstein. We are open to a broad array of traditional clinical informatics domains as well as population health informatics, public health informatics, and consumer health informatics. Current research domains in the division include: applying AI (including large language models) to real-world care, informatics and medical education, and using informatics to advance healthcare value, diagnostic excellence, health equity, and population health.
Candidates at all ranks are encouraged to apply. Candidates at the associate- and full-professor ranks will require a strong track record of independent research funding, publication, and an ability to foster collaborations with health system partners, industry, policymakers, and/or researchers.
Though these are research-focused positions, clinician-scientists (e.g., MD, DNP, PharmD, DDS) may have clinical opportunities matched to their certification and interest.
Candidates will have access to the robust research eco-system within DoC-IT, the Department of Medicine, and UCSF. DoC-IT is the home of the Center for Clinical Informatics and Improvement Research (CLIIR; https://cliir.ucsf.edu/ ) that leads pioneering research on how to maximize the impact of digital health on health system performance. The Division also houses UCSF's large Clinical Informatics Fellowship. Lastly, the Division has expertise in, and access to, UCSF Health's system EHR data as well as a strong relationship with the health system to facilitate intervention-based informatics research. Research involving our partner safety net hospital (Zuckerberg San Francisco General) and VA are also possible. For more information on the Division of Clinical Informatics and Digital Transformation, visit our website at https://docit.ucsf.edu/ .
Candidates whose research informs health policy also may become affiliated with the Philip R. Lee Institute for Health Policy Studies (IHPS), an interdisciplinary organized research unit at UCSF. For more information about IHPS, visit their website at https://healthpolicy.ucsf.edu . Candidates whose research informs computational health science may become affiliated with the Bakar Institute for Computational Health Sciences (BCHSI), another interdisciplinary organized research unit at UCSF. For more information about BCHSI, visit their website at https://bakarinstitute.ucsf.edu/
Interested applicants for all positions should upload a statement of research (past, current, future), their CV, and a statement of teaching.
Candidates must possess either a PhD, MD, DNP, PharmD, DDS, or equivalent degree. For clinician-scientists who want their appointment to include clinical practice, MDs must be board certified and eligible for licensure in the State of California. For other clinician-scientists, the requirements associated with performing clinical work will be determined.
Please apply online at: https://aprecruit.ucsf.edu/JPF05972 . Applicant's materials must list current and/or pending qualifications upon submission.
The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5 The minimum base salary range for this position is $114,100-$344,400. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation.
Application Requirements
Document requirements
  • Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
  • Cover Letter (Optional)
  • Statement of Research
  • Statement of Teaching

Reference requirements
  • 3-5 required (contact information only)

About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
San Francisco, CA

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