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Remote Computational Imaging Scientist Jobs (NOW HIRING)

Cleerly

Software Engineer III

$58.75 - $79/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Team You will join our expert Computational Imaging team, where we develop sophisticated ...

Cleerly

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Team You will join our expert Computational Imaging team, where we develop sophisticated ...

Cleerly

Software Engineer III

$142K - $168K/yr

About the Team You will join our expert Computational Imaging team, where we develop sophisticated ... Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or ...

YO AI Labs

Computational Physics Expert - Remote

Miami, FL · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced Computational Physics Experts to contribute their ... Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ...

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Remote Computational Imaging Scientist information

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$50.5K

$111.3K

$137.5K

How much do remote computational imaging scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote computational imaging scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Computational Imaging Scientist vs Remote Medical Imaging Analyst?

AspectRemote Computational Imaging ScientistRemote Medical Imaging Analyst
Required CredentialsAdvanced degrees in computer science, engineering, or related fields; experience with imaging algorithmsDegree in radiology, medical imaging, or related health sciences; familiarity with medical imaging software
Work EnvironmentResearch labs, tech companies, or healthcare R&D teams; focus on algorithm developmentHospitals, clinics, or healthcare institutions; focus on image interpretation and analysis
Employer & Industry UsageTech firms, research institutions, healthcare startupsHospitals, diagnostic labs, healthcare providers

The main difference is that Remote Computational Imaging Scientists develop advanced imaging algorithms and software, often in research or tech settings, while Remote Medical Imaging Analysts focus on interpreting medical images to assist diagnosis within healthcare environments.

More about Remote Computational Imaging Scientist jobs

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What are the most commonly searched types of Computational Imaging Scientist jobs?

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Remote Computational Imaging Scientist jobs near you
Infographic showing various Remote Computational Imaging Scientist job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 69% Full Time, 14% Part Time, and 13% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computational Scientist (Functional Genomics) - Remote

South San Francisco, CA • On-site, Remote

Astrix Inc
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Astrix Incexternal

$35 - $40/hr

Full-time, Contractor

Re-posted 10 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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