ZipRecruiter

Log In

2

Remote Biology Coding Jobs (NOW HIRING)

Imh

Coding Analyst I

Murray, UT · Remote

$31.01 - $48.84/hr

... biologicals, lab and genetics, home health, DME and any other type of claim we may receive ... If applying for a remote or hybrid role, this includes remote work expectations related to ...

Labcorp

Director, Laboratory CPT Coding

Durham, NC · On-site +1

$102K - $133K/yr

... remote workdays per week, supporting both collaboration and flexibility, with occasional onsite ... Minimum Qualifications Bachelor's degree in Medical Laboratory Science, Biology, Molecular Biology ...

New

Labcorp

Director, Laboratory CPT Coding

Burlington, NC · On-site +1

$88K - $115K/yr

... remote workdays per week, supporting both collaboration and flexibility, with occasional onsite ... Minimum Qualifications Bachelor's degree in Medical Laboratory Science, Biology, Molecular Biology ...

New

next page

Showing results 1-20

All JobsBiology Coding JobsRemote Biology Coding Jobs

Remote Biology Coding information

What is remote biology coding?

Remote biology coding refers to applying programming and computational techniques to solve biological problems while working from a location outside of a traditional office or laboratory. Professionals in this field use coding languages like Python or R to analyze biological data, develop models, or automate research processes. Remote opportunities in biology coding are common in areas such as bioinformatics, genomics, and data analysis, allowing scientists and coders to collaborate on research projects from anywhere in the world.

What is the difference between Remote Biology Coding vs Remote Bioinformatics Technician?

AspectRemote Biology CodingRemote Bioinformatics Technician
Required CredentialsProgramming skills, biology knowledge, sometimes degrees in bioinformatics or related fieldsBiology or bioinformatics degree, basic programming skills often preferred
Work EnvironmentRemote, often collaborative with research teams or biotech companiesRemote or on-site, supporting data analysis and laboratory data management
Industry UsageBiotech, pharmaceuticals, research institutionsResearch labs, healthcare, biotech companies
Common Search/ComparisonYesYes

Remote Biology Coding focuses on writing and maintaining code for biological data analysis, requiring programming expertise. Remote Bioinformatics Technicians support data processing and analysis, often with similar educational backgrounds but may have less emphasis on coding. Both roles are vital in biotech and research industries, but Remote Biology Coding emphasizes software development skills, while Remote Bioinformatics Technicians focus on data management and analysis support.

How do professionals in remote biology coding typically collaborate with research or laboratory teams?

Remote biology coding professionals often work closely with research scientists, data analysts, and laboratory personnel through virtual tools such as video conferencing, project management platforms, and shared code repositories. Regular meetings and collaborative platforms ensure that code development aligns with experimental objectives and data requirements. Effective communication is key, as remote coders may need to clarify data formats, discuss analysis methods, and troubleshoot computational issues with team members across different time zones. Building strong virtual relationships helps facilitate smooth project progress and ensures deliverables meet the scientific goals of the team.

What are the key skills and qualifications needed to thrive as a Remote Biology Coder, and why are they important?

To thrive as a Remote Biology Coder, you need a strong background in biology, bioinformatics, or a related field, coupled with proficiency in programming languages such as Python or R. Familiarity with bioinformatics tools, data analysis platforms, and version control systems like Git is typically required. Analytical thinking, attention to detail, and effective written communication are crucial soft skills for interpreting biological data and collaborating remotely. These skills ensure accurate coding, reliable data analysis, and efficient teamwork in virtual, interdisciplinary research environments.
More about Remote Biology Coding jobs
What cities are hiring for Remote Biology Coding jobs? Cities with the most Remote Biology Coding job openings:
What are the most commonly searched types of Biology Coding jobs? The most popular types of Biology Coding jobs are:
What states have the most Remote Biology Coding jobs? States with the most job openings for Remote Biology Coding jobs include:
What job categories do people searching Remote Biology Coding jobs look for? The top searched job categories for Remote Biology Coding jobs are:
Remote Biology Coding jobs near you
Infographic showing various Remote Biology Coding job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 18 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

Apply