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Research Python Jobs in Phoenix, AZ (NOW HIRING)

Fluency with a deep learning framework and Python Nice to Have Experience * Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML ...

As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC ... You will bridge the gap between high-level AI research and production-grade software, ensuring our ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code ... with research teams to implement and validate deep learning models. - Solid experience with ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code ... with research teams to implement and validate deep learning models. - Solid experience with ...

... and Python. Also, you will develop new MR imaging pulse sequences on MRI scanners, adapt, and ... As a research fellow, you will have the opportunity to participate in professional development ...

... and Python. Also, you will develop new MR imaging pulse sequences on MRI scanners, adapt, and ... As a research fellow, you will have the opportunity to participate in professional development ...

... and Python. Also, you will develop new MR imaging pulse sequences on MRI scanners, adapt, and ... As a research fellow, you will have the opportunity to participate in professional development ...

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Research Python information

See Phoenix, AZ salary details

$13

$58

$85

How much do research python jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for research python in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong support for data analysis, machine learning, and scientific computing. It is widely adopted in academia and industry for research projects, often complemented by tools like Jupyter notebooks and frameworks such as NumPy and pandas.

What Python jobs are in demand?

Python development roles such as data scientist, machine learning engineer, backend developer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis libraries, and proficiency in cloud platforms. Demand is driven by industries including technology, finance, healthcare, and e-commerce, with many roles requiring strong problem-solving skills and experience with version control tools like Git.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications and tools, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency and handling repetitive tasks, but human oversight remains essential for quality and innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

Is Python still in demand in 2026?

Python remains a highly in-demand skill for research roles, including those involving data analysis, machine learning, and automation. Its versatility, extensive libraries, and widespread use in industry and academia ensure continued demand for professionals proficient in Python in 2026.

Cyber Security Engineer/Developer with Java, Python - Hybrid

Saransh Inc

Phoenix, AZ • On-site

Contractor

Posted 10 days ago


Job description

Job Title: Cyber Security Engineer/Developer with Java, Python

Work Location: Phoenix, AZ

Duration: Longterm   

Job Description

  • 6 - 9 years of experience in Designs, develops, tests and debugs software development applications and systems
  • Completes software builds through consistent development practices including use of tools, common components and documentation with guidance from peers and leaders
  • Completes code reviews/secure code reviews and automated testing to maintain high quality code standards with guidance from peers and leaders
  • Supports and monitors software access test, integration and production environments
  • Adheres to security and regulatory best practices to ensure software compliance
  • Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
  • Completes the development and maintenance of security policies, procedures and best practices to ensure compliance with industry standards and regulatory requirements
  • Collaborates with software development teams to integrate security into the SDLC including conducting code reviews and providing support on secure coding practices
  • Implements encryption technologies to protect sensitive data in transit and at rest ensuring the confidentiality and integrity of the organization data with guidance from peers and leaders
  • Conducts research on emerging security threats and technologies to stay updated and maintain situation awareness on emerging and disruptive technologies
  • Conducts testing and evaluation of new cyber security technologies following SDLC practices for deployment and testing while managing changes in release management to maintain system integrity and security
  • Drafts detailed technical documentation and reports on security assessments, findings, and remediation efforts to provide insights and recommendations for improving the organization's security posture with guidance from peers and leaders

Qualifications:

  • Bachelors Degree in Computer Science, Information Systems, Cyber security or comparable experience, advanced degree preferred
  • Knowledge of regulatory compliance and security standards
  • Knowledge of application development and security
  • Knowledge of data engineering, Cloud security management
  • Knowledge of data privacy and protection (DPP, GDPR), data security management
  • Knowledge of scripting languages such as python, Bash, PowerShell or automating security tasks
  • Knowledge of distributed (multi-tiered) systems, algorithms, NoSQL and relational databases
  • Knowledge of the core tools used in the planning, analyzing, crafting, building, testing, configuring and maintaining of assigned applications
  • Knowledge of event driven architecture and messaging: Kafka, web hooks, asynchronous API design preferred
  • Experience in application design, software development and automated testing
  • Experience in Object oriented design and coding with variety of languages
  • Experience in agile software development methodologies and practices such as scrum/kanban, iterations, user stories
  • Automation testing experience and documentation (automated, functional and performance), experience in testing frameworks, unit testing, regression testing
  • Experience with Java 8+, spring suite framework  .
  • Experience with python, Django framework preferred
  • Experience with react js, node js, Go-lang preferred
  • Experience with Kubernetes, docker, jenkins, cloud deployment (CI/CD) preferred
  • Experience with postgreSQL, oracle, or equivalent relational databases preferred
  • At least one security related certification preferred like: CSSLP, GWEB, GCIH, CEH, GSEC, CASE, CCNA etc.
  • At least one developer related certification preferred like: OCP, OCA, OCM, DCD, DVA-C02, CKAD, ACE, CCSP, Professional cloud developer etc.