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Remote Computational Material Science Jobs in California

AA2IT

Bioinformatics Scientist - III

San Francisco, CA · On-site +1

D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field ... Open to remote candidates if they meet all the required skills and experience and are right fit for ...

Mat3ra

Community Evangelist

San Francisco, CA · On-site +1

$100K - $140K/yr

... materials science; MS or PhD in Engineering, Computational Chemistry, Computational Biology, Computer Science or Cheminformatics (or equivalent experience) * ability to learn and apply new concepts ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

Computational skills using Python and/or R, including experience with data science and biological ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

... Science teams. Work with Product and Engineering teams to streamline workflow of computational ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

... Science teams. Work with Product and Engineering teams to streamline workflow of computational ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Amgen

Senior Principal Scientist

Thousand Oaks, CA · On-site +1

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... The role is hybrid, option for remote work may be available What we expect of you We are all ...

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Remote Computational Material Science information

What is the difference between Remote Computational Material Science vs Remote Materials Data Analyst?

AspectRemote Computational Material ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; programming skillsBachelor's or master's in materials science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, or corporate R&D teams; focus on simulations and modelingData-focused roles in corporate or research settings; emphasis on data interpretation and visualization
Industry UsageResearch institutions, tech companies, manufacturingManufacturing, tech firms, consulting
Common Search/ComparisonYesYes

Remote Computational Material Science involves using simulations and modeling to understand material properties, requiring advanced technical skills. In contrast, Remote Materials Data Analysts focus on analyzing and visualizing data related to materials, often with less emphasis on modeling. Both roles are vital in materials research and industry, but they differ in technical focus and daily tasks.

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The most popular types of Computational Material Science jobs in California are:

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For Remote Computational Material Science jobs in California, the most frequently searched job titles are:

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The top searched job categories for Remote Computational Material Science jobs in California are:

What cities in California are hiring for Remote Computational Material Science jobs?

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Remote Computational Material Science jobs near you

Bioinformatics Scientist - III

AA2IT

San Francisco, CA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Computational Biologist

Qualifications:

Education Minimum Requirements

Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Physics, or related field, with hands on experiences in NGS data analysis Required Experience and

Skills

  • Hands on experience in performing analysis and interpreting biology with large-scale omics datasets including transcriptomics, single cell RNA-Seq is required, knowledge and experience in other omics modalities are preferred, including proteomics, metabolomics, lipidomics and epigenetics.
  • Proficiency in at least one programming language, such as R, Python, Perl or MatLab
  • Capable of prioritizing projects and providing high quality deliverables on time
  • Demonstrated ability to provide technical support, perform translational research, and contribute to cross-functional projects.
  • Effective written and verbal communication skills Preferred Experience and

Skills

  • Experiences in machine learning and AI
  • Capability of integrating multiple resources to strengthen research comprehensiveness.
  • Experience in applying computational methods to problems in cardiovascular and metabolic disease.
  • Familiarity with public databases and repositories of DNA and RNA profiling data
  • Strong publication record Note: Onsite candidates are preferred. Open to remote candidates if they meet all the required skills and experience and are right fit for the role.

Responsibilities:

We are seeking a motivated Computational Biologist with hands on experience to join our team dedicated to advancing our Cardiometabolic Disease (CMD) portfolio. As a scientist in CMD, you will:

  • Be part of creative and enthusiastic teams working on target identification and validation (TIDVAL) for heart failure, NASH, fibrosis, inflammation, obesity, retinal diseases, and vascular disease
  • Work with dynamic cross-functional matrixed teams to support discovery activities.
  • Be responsible to adapt pipelines and create data analysis solutions to analyze large scale omics data (transcriptomics, genomic, genetic, metabolomic, proteomic) for TIDVAL.
  • Work with in-house, open-source and/or commercially available platforms for the processing and analyzing large datasets.
  • Engage and collaborate with wet lab scientists on experimental design, data analysis and interpretation, and mechanistic understanding of target biology.
  • Have a proven track record across a wide range of computational biological methods, including but not limited to: next generation sequence data analysis, especially bulk RNAseq and scRNAseq, and data mining
  • Collaborative mindset with strong communication and presentation skills

Apply