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Remote Computational Biology Faculty Jobs (NOW HIRING)

The Pennsylvania State University

CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to ... Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ...

The Pennsylvania State University

The focus of this search is on candidates with expertise in areas such as computational biology ... Faculty hired through this initiative will be affiliated with the Huck Institutes of the Life ...

micro1 AI

Cheminformatics Specialist - Remote

Tampa, FL · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Cheminformatics Specialist - Remote

Lynn, MA · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Cheminformatics Specialist - Remote

Reno, NV · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Cheminformatics Specialist - Remote

Concord, NC · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

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Remote Computational Biology Faculty information

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How much do remote computational biology faculty jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote computational biology faculty in the United States is $126,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a remote computational biology faculty?

Remote computational biology faculty are educators and researchers who teach, mentor, and conduct research in computational biology while working from a location outside of a traditional campus. They leverage technology to deliver lectures, supervise students, and collaborate with colleagues online. These faculty members typically work for colleges, universities, or research institutions that support remote or hybrid teaching and research models. Their responsibilities may include developing curriculum, publishing research, and contributing to academic committees, all while utilizing digital tools to interact with students and peers.

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

To thrive as a Remote Computational Biology Faculty, you need a Ph.D. in computational biology or a related field, strong research experience, and a solid track record of academic publications. Proficiency with bioinformatics tools, programming languages (such as Python or R), and experience using learning management systems (LMS) are typically required. Exceptional communication, self-motivation, and the ability to engage students remotely are crucial soft skills for this role. These skills and qualifications enable effective teaching, impactful research, and active student mentorship in a virtual academic environment.

How does a remote computational biology faculty member typically collaborate with researchers and students given the virtual work environment?

As a Remote Computational Biology Faculty member, collaboration is primarily facilitated through digital platforms such as video conferencing, collaborative coding environments, and shared cloud-based data repositories. Faculty regularly engage with students and research teams via scheduled online meetings, virtual office hours, and group messaging tools to discuss research progress, provide mentorship, and coordinate on projects. While working remotely can present challenges in communication and team cohesion, most institutions provide robust technological support and encourage regular check-ins to maintain strong connections. This virtual model allows seamless collaboration across different time zones and can even foster broader interdisciplinary partnerships.
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Remote Computational Biology Faculty jobs near you
Infographic showing various Remote Computational Biology Faculty job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $126,612 per year, or $60.9 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 11 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
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