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Remote Computational Immunology Jobs (NOW HIRING)

Tempus

Senior Scientist I, Translational Research

Boston, MA · On-site +1

$115K - $175K/yr

... Computational Immunology or similar). Alternatively, a PhD inMolecular Biology or Immunology ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

... Computational Immunology or similar). Alternatively, a PhD inMolecular Biology or Immunology ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Scientist II, Translational Research

Chicago, IL · On-site +1

$100K - $150K/yr

... Computational Immunology or similar). Alternatively, a PhD inMolecular Biology or Immunology ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus

Scientist II, Translational Research

Boston, MA · On-site +1

$100K - $150K/yr

... Computational Immunology or similar). Alternatively, a PhD inMolecular Biology or Immunology ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Jj

Senior Director, Immunology Data & AI Systems

Cambridge, MA · On-site +1

$54.50 - $74.75/hr

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

Jj

Senior Director, Immunology Data & AI Systems

Raritan, NJ · On-site +1

$51 - $70.25/hr

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

Jj

Senior Director, Immunology Data & AI Systems

San Diego, CA · On-site +1

$52.75 - $72.75/hr

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

LatchBio

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

Your hands-on expertise in functional biology assays and computational modeling will define how we ... Immune escape & immunogenicity assessment * Viral fitness, host-range, or zoonotic spillover ...

Jj

Senior Director, Immunology Data & AI Systems

Titusville, NJ · On-site +1

$49.50 - $68.25/hr

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

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Remote Computational Immunology information

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How much do remote computational immunology jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote computational immunology in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is remote computational immunology?

Remote computational immunology is a field where scientists use computer-based tools and mathematical models to analyze and understand the immune system, while working from a location outside of a traditional laboratory setting. These professionals often work with large datasets, such as genomic sequences or immune response profiles, to make predictions and discover insights about immune processes. By working remotely, computational immunologists can collaborate with research teams worldwide, contribute to vaccine development, and advance immunological research using digital communication and data-sharing platforms.

What are the key skills and qualifications needed to thrive as a remote computational immunologist?

To excel as a Remote Computational Immunologist, you need a strong background in immunology, bioinformatics, and data analysis, typically supported by a relevant advanced degree (e.g., PhD or MSc). Proficiency with programming languages like Python or R, experience with bioinformatics tools, and familiarity with high-performance computing environments are essential. Excellent problem-solving skills, self-motivation, and effective virtual communication set top professionals apart in remote settings. These skills ensure accurate data interpretation, innovation, and seamless collaboration across distributed research teams.

How does a remote computational immunologist typically collaborate with wet-lab scientists and other team members?

Remote computational immunologists often work closely with wet-lab scientists, bioinformaticians, and clinicians through virtual meetings, collaborative platforms, and shared data repositories. Effective communication is essential to interpret experimental results, design analyses, and troubleshoot complex datasets. Regular updates and joint discussions help align computational modeling with experimental objectives, ensuring findings are integrated into broader research goals. Utilizing collaborative tools like Slack, shared cloud storage, and project management software is common to maintain seamless teamwork despite physical distance.
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Remote Computational Immunology jobs near you
Infographic showing various Remote Computational Immunology job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 61% Full Time, 33% Part Time, and 2% Contract. Highlights an 62% Physical, 2% Hybrid, and 36% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 5 days ago

Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
    #LI-MG1

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