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Research Python Jobs in Washington, DC (NOW HIRING)

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

Join a growing team of security researchers and software engineers as we transition a ... Expertise in scripting (Python, shell scripting) * Expertise with Docker and container ...

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Research Python information

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$14

$66

$97

How much do research python jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for research python in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 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.

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.