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Remote Biology Coding Jobs (NOW HIRING)

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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:
Infographic showing various Remote Biology Coding job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Biologist with Python Proficiency - AI Trainer

Kake Group

Austin, TX โ€ข Remote

Contractor

Posted 2 days ago


Job description

We're building a talent pool of Biology professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.

Designed for biology specialists who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their computational expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as NEURON, Brian2, OpenSim, AMICI, or MNE-Python, with verifiable, code-graded answers run inside isolated Linux environments.

Key Responsibilities

  • Identify an appropriate computational biology package and build problems whose solution genuinely hinges on that tool's core capabilities, whether biophysical models, ODE/PDE systems, biomechanical formulations, or sequence algorithms.
  • Develop full Python solutions for each problem, providing all necessary input files, model definitions, and network configurations as required.
  • Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the biological context.
  • Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.
  • Tune channel kinetics, stimulation protocols, and solver tolerances iteratively, building an understanding of how the model navigates complex neuronal, biomechanical, and systems biology problems.
  • Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.

Core Requirements

  • Academic background in Biology or a closely related field.
  • At least 2 years of hands-on experience in biology research, applied work, or teaching.
  • Solid Python skills, applied to writing and validating computational solutions.
  • Capacity to build problems that cannot be solved without specialized computational biology software.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Working knowledge of one or more domain-specific computational biology tools, including but not limited to NEURON, Brian2, NEST, OpenSim, AMICI, libroadrunner, MNE-Python, or Biopython, or a demonstrated ability to get up to speed independently.
  • Prior exposure to how frontier AI models approach complex simulation tasks.
  • Knowledge spanning more than one biology domain, such as computational neuroscience, biomechanics, or systems biology.
  • Familiarity with containerized or sandboxed Linux execution environments.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.