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Trainee Python Developer Jobs (NOW HIRING)

GROWTH-MSI Trainee

Turlock, CA ยท On-site

$18/hr

GROWTH-MSI Trainee Job no: 557837 Work type: Instructional Student Assistant Location: Stanislaus ... Experience in programing language such as C++ and Python. * Experience working in Linux operating ...

We combine protein engineering, chemical biology, molecular imaging, computational biology, and ... Mentor graduate students and other laboratory trainees while contributing to a collaborative ...

Surgical trainees with relevant prior experiences who are able to take time out of their training ... Python programming language (including libraries such as Pandas, Scikit-learn), shell scripting ...

... Python programming language (including libraries such as Pandas, Scikit-learn), shell scripting ... Surgical trainees with relevant prior experiences who are able to take time out of their training ...

Surgical trainees with relevant prior experiences who are able to take time out of their training ... Python programming language (including libraries such as Pandas, Scikit-learn), shell scripting ...

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How much do trainee python developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for trainee python developer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

Are Trainee Python Developers still in demand?

Trainee Python Developers are still in demand as Python remains a popular programming language used in data analysis, web development, and automation. Entry-level roles often require knowledge of core Python skills and familiarity with frameworks like Django or Flask, making it a valuable skill for beginners entering the tech industry.

What is a trainee python developer?

A Trainee Python Developer is an entry-level role designed for individuals looking to start their career in Python development. They typically work under the guidance of senior developers, assisting with coding, debugging, and testing software applications. The role involves learning best practices, understanding project requirements, and gaining hands-on experience with frameworks and tools commonly used in Python development. This position helps build foundational skills required for progressing into a full-time developer role.

How do I get a job in Python with no experience?

To get a trainee Python developer position with no experience, focus on building a strong foundation by learning core Python concepts, practicing coding through projects, and completing online courses or certifications. Contributing to open-source projects and creating a portfolio can demonstrate your skills to employers. Entry-level roles often value problem-solving ability and willingness to learn alongside technical knowledge.

What types of projects or tasks can a trainee python developer expect to work on in their first role?

As a Trainee Python Developer, you will typically assist in developing, testing, and maintaining features under the guidance of senior developers. You may work on writing and debugging code, creating scripts to automate simple tasks, and supporting database or API integrations. Many organizations assign trainees to real-world projects early on, providing hands-on experience and regular feedback. This role usually offers a supportive environment with opportunities for mentorship and learning, allowing you to build your skills on practical assignments and gradually take on more complex responsibilities.

What are the key skills and qualifications needed to thrive in the trainee python developer position, and why are they important?

To thrive as a Trainee Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving skills, and a relevant educational background such as a degree in computer science or completion of a coding bootcamp. Familiarity with version control systems like Git, basic knowledge of databases, and hands-on experience with development environments are commonly expected; certifications in Python or related technologies can be a plus. Eagerness to learn, attention to detail, and strong communication skills help set candidates apart in this collaborative and growth-focused role. These competencies are vital for effectively contributing to development projects, adapting to evolving technologies, and progressing in a software development career.

How much does a beginner python developer earn?

A beginner Python developer typically earns between $50,000 and $70,000 annually, depending on location, industry, and skill level. Entry-level roles often require basic knowledge of Python, version control, and problem-solving skills, with salaries increasing as experience and proficiency grow.
More about Trainee Python Developer jobs
What cities are hiring for Trainee Python Developer jobs? Cities with the most Trainee Python Developer job openings:
What are the most commonly searched types of Python Developer jobs? The most popular types of Python Developer jobs are:
What states have the most Trainee Python Developer jobs? States with the most job openings for Trainee Python Developer jobs include:
Infographic showing various Trainee Python Developer job openings in the United States as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Associate Research Scientist

Columbia University in the City of New York

New York, NY โ€ข On-site

Full-time

Re-posted 21 days ago


Job description

Description
The Department of Radiology Clinical Research Division invites applications for an Associate Research Scientist to join the Center for Advanced Diagnostic Research (CADRe) of Dr. Stella Kang. The successful candidate will lead the development and implementation of advanced computational models of disease, with a focus on oral lesions and cancers.
This position involves the design, execution, and analysis of quantitative disease simulation models, including state-transition (Markov) models, discrete event simulations, differential equations, and agent-based modeling approaches. The candidate will integrate epidemiologic and clinical data from national datasets and the scientific literature into robust computational frameworks.
Specific duties include:
  • Design, develop, and validate computational disease models using state-transition, discrete event, differential equation, and agent-based modeling methodologies.
  • Implement simulation models in Python, R, C, C++, or other scientific programming environments.
  • Integrate model parameters using national datasets for incidence, mortality, and related epidemiologic outcomes.
  • Conduct structured literature reviews to inform model inputs, assumptions, and validation.
  • Apply principles of diagnostic test accuracy, including ROC analysis.
  • Perform statistical analyses, including multivariable regression and time-to-event methods, as needed to support modeling.
  • Develop and maintain databases of model inputs, outputs, and analytical results.
  • Prepare manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Present regular progress updates to the Principal Investigator and collaborate with a multidisciplinary research team.
  • Mentor junior researchers, including Postdoctoral Fellows and research assistants, as appropriate.

Qualifications
Minimum Qualifications:
  1. Ph.D. in decision sciences, industrial engineering, epidemiology, biostatistics, mathematics, engineering, computational sciences, or a related quantitative field.
  2. Demonstrated expertise in simulation modeling methodologies, including Markov/state-transition, discrete event, differential equation, and/or agent-based modeling.
  3. Strong foundation in probability theory and statistical methods.
  4. Proficiency in scientific programming (Python, R, C, C++, or equivalent).
  5. Experience conducting systematic literature searches using PubMed/MEDLINE, Embase, or similar databases.
  6. Excellent written and oral communication skills in a scientific context.
  7. Strong organizational skills for managing complex datasets and multi-component modeling projects

Preferred Qualifications:
  • Experience in decision analytic modeling or economic evaluation.
  • Knowledge of epidemiologic methods and health outcomes research.
  • Prior involvement in modeling cancer or oral lesion progression.
  • Experience mentoring trainees and collaborating within multidisciplinary research teams.

Equal Employment Opportunity Statement
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.