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Remote Life Science Engineering Jobs in California

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and ...

Getinge

Medical Science Liaison

Sacramento, CA · Remote

$180K/yr

... LI-Remote About us With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and ...

Getinge

Medical Science Liaison

Sacramento, CA · Remote

$180K/yr

... Remote About us  With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and ...

Getinge

Medical Science Liaison

Sacramento, CA · Remote

$180K/yr

... Remote About us  With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and ...

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Remote Life Science Engineering information

What is the difference between Remote Life Science Engineering vs Remote Biomedical Engineering?

AspectRemote Life Science EngineeringRemote Biomedical Engineering
Required CredentialsBachelor's or higher in life sciences, engineering, or related fieldsBachelor's or higher in biomedical engineering, bioengineering, or related disciplines
Work EnvironmentRemote, often in research, product development, or regulatory rolesRemote, typically in medical device design, diagnostics, or healthcare tech
Industry UsagePharmaceuticals, biotech, healthcare companiesMedical device manufacturers, healthcare technology firms
Common Search/ComparisonYesYes

Remote Life Science Engineering and Remote Biomedical Engineering share similar educational backgrounds and work environments, often involving research and product development in healthcare sectors. However, Life Science Engineering broadly covers biotech, pharmaceuticals, and research, while Biomedical Engineering focuses more on medical devices and healthcare technology. Both roles are in high demand for remote work in the healthcare industry.

What are popular job titles related to Remote Life Science Engineering jobs in California? For Remote Life Science Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Life Science Engineering jobs in California look for? The top searched job categories for Remote Life Science Engineering jobs in California are:
What cities in California are hiring for Remote Life Science Engineering jobs? Cities in California with the most Remote Life Science Engineering job openings:
Remote Life Science Engineering jobs near you

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Posted 20 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

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