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Part Time Remote Computational Biologist Jobs (NOW HIRING)

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 ...

Lockheed Martin

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

The computational designer will work with subject matter experts to understand the design problem ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

Lockheed Martin

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

The computational designer will work with subject matter experts to understand the design problem ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational approaches to represent and interpret biological imaging data, enabling new ...

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Part Time Remote Computational Biologist information

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$48.5K

$94K

$133.5K

How much do part time remote computational biologist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for part time 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.

What is the difference between Part Time Remote Computational Biologist vs Part Time Remote Bioinformatics Analyst?

AspectPart Time Remote Computational BiologistPart Time Remote Bioinformatics Analyst
Required CredentialsTypically requires a degree in computational biology, bioinformatics, or related field; often a master's or PhDUsually requires a degree in bioinformatics, biology, or related field; often a bachelor's or master's
Work EnvironmentRemote, project-based, collaborative with research teamsRemote, data analysis-focused, supporting research or clinical projects
Employer & Industry UsageResearch institutions, biotech companies, pharmaceutical firmsHealthcare providers, research labs, biotech companies

The Part Time Remote Computational Biologist and Part Time Remote Bioinformatics Analyst roles share similarities in remote work settings and required technical skills. However, computational biologists often focus more on developing models and algorithms for biological data, while bioinformatics analysts primarily analyze existing datasets. Both roles are essential in research and industry, but their specific responsibilities and educational backgrounds differ slightly.

What cities are hiring for Part Time Remote Computational Biologist jobs? Cities with the most Part Time Remote Computational Biologist job openings:
What are the most commonly searched types of Remote Computational Biologist jobs? The most popular types of Remote Computational Biologist jobs are:
Part Time Remote Computational Biologist jobs near you
Infographic showing various Part Time Remote Computational Biologist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Scientific AI Evaluation & Computational Problem Designer

Weekday AI

Remote

$45 - $100/hr

Part-time

Posted 8 days ago

Job description

This role is for one of our clients
Compensation: $45-$100 per hour
We are building a large-scale evaluation benchmark to test advanced AI reasoning across scientific and engineering domains. This role focuses on designing rigorous, research-grade computational problems that assess how effectively AI systems can leverage real scientific software tools to solve complex challenges.
Unlike traditional annotation roles, this position requires creating original, graduate-level problems rooted in real-world scientific workflows. You will iteratively refine these problems through calibration against state-of-the-art AI models, ensuring the right balance of difficulty, depth, and reasoning complexity.
Requirements
What You'll Do
  • Design advanced computational problems requiring the use of domain-specific scientific software
  • Create tasks that test both precise execution (multi-step workflows, simulations) and strategic reasoning (experiment design, inference from partial data)
  • Develop problem setups, solution pathways, and validation mechanisms
  • Calibrate and refine tasks based on model performance to achieve target difficulty levels
  • Ensure problems emphasize reasoning strategy over brute-force computation

Domains & Tools of Interest
We are particularly seeking candidates with hands-on experience in:
  • Bioinformatics & Single-Cell Genomics: scanpy, scvelo, squidpy, gudhi (RNA-seq, trajectory inference, spatial transcriptomics)
  • Computational Chemistry: PySCF (HF, DFT, TDDFT, CASSCF, post-HF methods)
  • Particle & Nuclear Physics: scikit-hep, Monte Carlo simulations, collider data analysis
  • Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation)
  • Astrophysics & Cosmology: astropy (cosmological modeling, survey analysis)
  • Structural & Mechanical Engineering: scikit-fem (finite element analysis, elasticity, beam theory)
  • Seismology & Geophysics: ObsPy, SPECFEM (waveform analysis, inversion, tomography)
  • Pharmacokinetics & Systems Biology: libRoadRunner, Tellurium, SBML-based tools

Experience with other specialized tools in related domains is also welcomed.
What Makes You a Strong Fit
  • Graduate-level expertise (MS or PhD preferred) in a relevant STEM field
  • Hands-on experience using scientific software libraries for real research problems
  • Strong Python programming skills, including building computational workflows and validators
  • Ability to design challenging problems that require deep reasoning rather than surface-level solutions
  • Familiarity with edge cases, limitations, and practical challenges of scientific tools

Requirements
  • Demonstrated proficiency with at least one relevant scientific library (via research, open-source work, or industry experience)
  • Ability to work independently and iterate based on feedback
  • Comfort working in Linux/terminal environments and remote compute setups
  • Availability of at least 15-20 hours per week

Nice to Have
  • Experience across multiple domains or tools
  • Background in evaluation frameworks or benchmarking
  • Experience in teaching, pedagogy, or problem-set design
  • Familiarity with reproducible research practices and containerized environments

Engagement Details
  • Independent contractor role
  • Fully remote with flexible scheduling
  • Project scope may evolve based on performance and research needs

Compensation & Payments
  • Competitive compensation based on expertise and domain specialization
  • Weekly payments via supported global payment platforms

Additional Information
  • Work must not involve sharing confidential or proprietary information from any current or past employer or institution
  • Projects may be extended, modified, or concluded based on performance and business requirements
  • This opportunity does not currently support certain work authorization categories

Apply