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No Degree Python Jobs in Seattle, WA (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry ...

Big Data/Cloud Consultant

Seattle, WA

$66.50 - $90.75/hr

Development experience in Java, Python, Scala. * Experience in cloud technologies preferred - AWS ... Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider ...

Java/AngularJS Consutlant

Bellevue, WA · On-site

$57.50 - $74.50/hr

Knowledge of scripting languages like Python and Shell scripting would be a plus * Knowledge of ... Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider ...

Fluent in writing code using Python or Go to build security automation. * Must have a deep ... Bachelor's or Master's degree in Computer Science, Cybersecurity, Information Systems, or a related ...

Fluent in writing code using Python or Go to build security automation. * Must have a deep ... Bachelor's or Master's degree in Computer Science, Cybersecurity, Information Systems, or a related ...

Showing results 41-60

No Degree Python information

See Seattle, WA salary details

$15

$66

$98

How much do no degree python jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for no degree python in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What are no degree python jobs?

'No Degree Python' jobs refer to positions that require proficiency in the Python programming language but do not mandate a formal college degree for applicants. These roles are often available in fields like web development, data analysis, automation, and software testing. Employers typically look for practical experience, coding skills, and a portfolio of projects, which can be demonstrated through self-study, online courses, or bootcamps. This opens up opportunities for individuals who have developed their Python skills outside of traditional academic paths.

What are the key skills and qualifications needed to thrive as a Python developer without a formal degree, and why are they important?

To thrive as a Python Developer without a formal degree, you need a strong grasp of Python programming fundamentals, problem-solving abilities, and a robust portfolio demonstrating real-world projects. Familiarity with development tools like Git, popular frameworks such as Django or Flask, and experience with version control and databases are typically expected. Strong communication, self-motivation, and a willingness to continuously learn help you stand out in this role. These skills ensure you can deliver effective solutions, adapt to evolving technologies, and collaborate productively within development teams.

What is the difference between No Degree Python vs Data Analyst?

AspectNo Degree PythonData Analyst
Required CredentialsOften no formal degree required; focus on coding skills and portfolioTypically requires a degree in data science, statistics, or related field
Work EnvironmentSelf-taught, freelance, or startup settings; remote or flexibleCorporate offices, consulting firms, or in-house teams
Industry UsageUsed across tech, startups, and freelance projectsCommon in finance, marketing, healthcare, and consulting

While No Degree Python emphasizes coding skills without formal education, Data Analysts usually have a degree and focus on interpreting data. Both roles involve working with data, but their credentials, work settings, and industry applications differ.

What types of projects or tasks can candidates without a degree expect to work on in a Python developer role?

Candidates without a formal degree who secure Python developer roles often work on a variety of tasks such as automating processes, developing web applications, writing scripts for data analysis, or contributing to backend systems. Depending on the company, you may collaborate with cross-functional teams including designers, project managers, and other developers. Success in the role often depends on your portfolio, coding proficiency, and ability to solve real-world problems rather than your educational background. Demonstrating your skills through GitHub contributions or personal projects can help you secure more complex and interesting assignments over time.

AI Training Specialist - Life Sciences

micro1 AI

Kent, WA • Remote

$90 - $120/hr

Part-time

Posted 13 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.