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Rna Seq Remote Jobs (NOW HIRING)

GENTY recruitment

AI Biologist

San Francisco, CA · Remote

$120K - $180K/yr

Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

GENTY recruitment

AI Biologist

San Francisco, CA · Remote

$120K - $180K/yr

Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

LatchBio

AI Biologist - Biosurveillance

San Francisco, CA · On-site +1

$120K - $180K/yr

Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) using ... Hybrid - remote + on-site Additional Information All your information will be kept confidential ...

The Pennsylvania State University

$40K - $58K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... seq), or gene expression (such as bulk, single-cell, or single-nuclei RNA sequencing) is also ...

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Rna Seq Remote information

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$49K

$203.5K

$400K

How much do rna seq remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for rna seq remote in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is the difference between Rna Seq Remote vs Rna Sequencing Technician?

AspectRna Seq RemoteRna Sequencing Technician
CredentialsBachelor's degree in biology, genetics, or related field; experience with RNA sequencingAssociate's or Bachelor's degree; laboratory experience preferred
Work EnvironmentPrimarily remote, collaborating with labs and bioinformatics teamsLaboratory setting, performing sequencing and sample preparation
Industry UsageBiotech, pharmaceutical, research institutionsResearch labs, biotech companies, academic institutions
Search & ComparisonOften searched by those seeking remote bioinformatics or sequencing rolesTypically searched by lab technicians or sequencing specialists

Rna Seq Remote roles focus on bioinformatics and data analysis from a remote location, requiring programming skills and experience with RNA sequencing data. Rna Sequencing Technicians perform laboratory-based sample preparation and sequencing in a lab setting. Both roles are integral to RNA sequencing projects but differ mainly in work environment and skill requirements.

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Rna Seq Remote jobs near you
Infographic showing various Rna Seq Remote job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Re-posted 13 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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