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Remote Entry Level Computational Biology Jobs (NOW HIRING)

Aequor

This opportunity can be remote. Duties and responsibilities: • Support Oncology drug development ... Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences) Salary:

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The laboratory employs integrative genomic and computational approaches in cattle and mouse models ...

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

Biology with a computational emphasis * Or a related quantitative life sciences discipline ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The focus of this search is on candidates with expertise in areas such as computational biology ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS Postdoctoral Scholar (Computational Biology) The National Synthesis Center for ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Contribute to research activities involving computational biology, bioinformatics, biological data ...

Absentia Labs

Member of the Technical Staff

Boston, MA · Remote

... biological datasets * Startup or early-stage company experience * Interest in translational medicine, toxicology, or computational drug development Location Hybrid and remote-friendly depending on ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Current Penn State graduate student with demonstrated expertise in computational biology ...

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Remote Entry Level Computational Biology information

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How much do remote entry level computational biology jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote entry level computational biology in the United States is $93,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $117,000.00 per year, depending on experience, location, and employer.

Are remote entry level computational biologists in demand?

Remote entry level computational biologists are in growing demand due to increased reliance on data analysis and bioinformatics in research and healthcare. Skills in programming, statistical analysis, and familiarity with tools like Python or R enhance job prospects in this field.

How to break into remote entry level computational biology?

To break into remote entry-level computational biology, candidates should develop a strong foundation in biology and programming, often through a bachelor's degree in bioinformatics, computational biology, or related fields. Gaining skills in programming languages like Python or R, understanding biological data analysis, and familiarizing oneself with tools such as Linux and version control are essential. Building a portfolio of projects and applying for internships or entry-level positions can improve job prospects in this field.
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What states have the most Remote Entry Level Computational Biology jobs?

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Remote Entry Level Computational Biology jobs near you
Infographic showing various Remote Entry Level Computational Biology job openings in the United States as of August 2026, with employment types broken down into 62% Full Time, 35% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 23 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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