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Part Time Remote Bioinformatics Scientist Jobs (NOW HIRING)

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

MUSC

... Science in Health Informatics (MSHI) program will teach graduate-level online courses in health informatics, data analytics, health information systems, and related areas. This part-time, remote ...

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Part Time Remote Bioinformatics Scientist information

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$37

$54

$74

How much do part time remote bioinformatics scientist jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for part time remote bioinformatics scientist in the United States is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $62.50 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Bioinformatics Scientist vs Part Time Remote Data Analyst?

AspectPart Time Remote Bioinformatics ScientistPart Time Remote Data Analyst
Required CredentialsTypically requires a degree in bioinformatics, biology, or related fields; often a master's or PhDUsually requires a degree in statistics, mathematics, or related fields; often a bachelor's or master's
Work EnvironmentRemote, collaborative with research teams, often in biotech or healthcare industriesRemote, analytical tasks across various industries like finance, marketing, or healthcare
Employer & Industry UsageUsed by biotech firms, research institutions, pharmaceutical companiesCommon in corporate, healthcare, and consulting sectors

While both roles involve data analysis, a Part Time Remote Bioinformatics Scientist focuses on biological data, requiring specialized scientific knowledge, whereas a Part Time Remote Data Analyst handles broader data sets across industries. The bioinformatics role emphasizes biological and genomic expertise, often in research settings, while data analysts work across diverse sectors with a focus on interpreting data trends.

What cities are hiring for Part Time Remote Bioinformatics Scientist jobs? Cities with the most Part Time Remote Bioinformatics Scientist job openings:
What are the most commonly searched types of Remote Bioinformatics Scientist jobs? The most popular types of Remote Bioinformatics Scientist jobs are:
What states have the most Part Time Remote Bioinformatics Scientist jobs? States with the most job openings for Part Time Remote Bioinformatics Scientist jobs include:
Part Time Remote Bioinformatics Scientist jobs near you

Scientific AI Evaluation & Computational Problem Designer

Weekday AI

Remote

$45 - $100/hr

Part-time

Posted 17 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