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Remote Postdoc Chemical Engineering Jobs in California

Husch Blackwell Llp

Patent Agent

Oakland, CA · Remote

$100K - $170K/yr

Bachelor's degree in Chemical Engineering, Computer Science, Computer or Electrical Engineering ... Principal Applicants Only. #LI-Remote #LI-CP1

Husch Blackwell LLP

Patent Agent

Oakland, CA · Remote

$100K - $170K/yr

Bachelor's degree in Chemical Engineering, Computer Science, Computer or Electrical Engineering ... Principal Applicants Only. #LI-Remote #LI-CP1

NV5

Senior Stormwater/Environmental Scientist-QSD

Torrance, CA · On-site +1

$86K - $116K/yr

D degree from an accredited university in civil/environmental/ chemical engineering or related ... remote telemetry, innovative use of novel monitoring devices). * Strong operational use of computer ...

Travere

Executive Director, CMC Diligence

San Diego, CA · On-site +1

San Diego, USA- Remote Be a part of a global team that is inspired to make a difference in the ... D. in chemistry, chemical engineering, pharmaceutical sciences, biological sciences, engineering ...

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Remote Postdoc Chemical 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 16 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.

INDBH
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