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Remote Computer Science Postdoc Jobs in California

Planet

Visiting Staff Scientist

San Francisco, CA · On-site +1

Oversee the technical direction of a dedicated postdoc and collaborate with Planet's research ... PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or ...

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Remote Computer Science Postdoc information

What is a Remote Computer Science Postdoc?

A Remote Computer Science Postdoc is a postdoctoral research position in the field of computer science that allows the researcher to work from a location outside of a traditional academic or research institution, often from home or another remote location. These positions typically involve conducting independent or collaborative research under the guidance of a principal investigator, publishing papers, and contributing to ongoing projects. Remote postdocs leverage digital communication tools to collaborate with their teams and may also participate in virtual conferences and seminars. This flexibility can make it easier to balance work with personal commitments and collaborate internationally. However, it also requires strong self-motivation and communication skills to succeed.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Postdoc, and why are they important?

To thrive as a Remote Computer Science Postdoc, you need a PhD in computer science or a related field, strong research and analytical skills, and a track record of scholarly publications. Familiarity with advanced programming languages, statistical analysis software, and collaborative research platforms is typically expected. Excellent written communication, self-motivation, and time management are vital soft skills for excelling in a remote academic environment. These competencies ensure that you can independently drive impactful research while effectively collaborating and sharing findings with the broader scientific community.

What are some common challenges faced by remote Computer Science postdocs when collaborating with research teams?

Remote Computer Science postdocs often navigate challenges such as time zone differences, limited face-to-face mentorship, and building rapport with team members. Effective communication tools and regular video meetings are crucial for maintaining strong collaboration and ensuring research progress. Proactively seeking feedback and participating in virtual lab meetings can help remote postdocs stay engaged and integrated with their research groups.
What are the most commonly searched types of Computer Science Postdoc jobs in California? The most popular types of Computer Science Postdoc jobs in California are:
What are popular job titles related to Remote Computer Science Postdoc jobs in California? For Remote Computer Science Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Postdoc jobs in California look for? The top searched job categories for Remote Computer Science Postdoc jobs in California are:
What cities in California are hiring for Remote Computer Science Postdoc jobs? Cities in California with the most Remote Computer Science Postdoc job openings:
Remote Computer Science Postdoc jobs near you
Computational Scientist (Functional Genomics) - Remote

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Posted 6 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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