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Entry Level Remote Computational Biologist Jobs (NOW HIRING)

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... D. in Anthropology, Microbiology, Epidemiology, Public Health, Biostatistics, Computational Biology ...

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Entry Level Remote Computational Biologist information

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

As of Sep 12, 2026, the average yearly pay for entry level remote computational biologist 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.
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Infographic showing various Entry Level Remote Computational Biologist job openings in the United States as of September 2026, with employment types broken down into 5% Internship, 66% Full Time, 28% Part Time, and 1% Contract. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Medical Microbiology Consultant - Remote

Grand Rapids, MI โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$70 - $90/hr

Part-time

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.