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Research Python Jobs (NOW HIRING)

Alignerr

Data Platform Engineer (Python)

Denver, CO · Remote

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape ... Collaborate with data, research, and engineering teams to support model training and evaluation ...

Artech Information System LLC

Python Developer

Mount Laurel, NJ · On-site

$49.75 - $68.50/hr

This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. The eligible candidate should demonstrate an expert level in Python, with ...

Boon Logic Inc

Be Seen First

Research Engineer - R&D Prototyping (Python / C++)

Minneapolis, MN · On-site

$90K - $130K/yr

Build research-oriented tools and proof-of-concept implementations ... Develop software primarily in Python and C++ * Work in Linux-based development environments

Palnar

Sr. Python Developer

Mclean, VA · On-site

$123K - $166K/yr

... research area * Ensure new code and existing code updates meet standard technology development ... Python, Pandas and other popular Python libraries * Java * Testing frameworks such as pytest, junit

Turing

Remote Senior Python Engineer

San Francisco, CA · Remote

$200 - $300/hr

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier ... Build agents and automated verification tools in Python that can verify the quality of code and ...

New

Old Mission

Python Software Engineer

Chicago, IL · On-site

$150K - $225K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... High proficiency in Python on Linux Platforms * Familiarity with relational databases (e.g.

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How much do research python jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for research python 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.

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.
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Research Python jobs near you

Python Developer

Skywaves MP LLC

Manhattan, NY

$55.50 - $76.25/hr

Other

Posted 25 days ago

Job description

We are seeking a Senior Python Backend-Heavy Full Stack AI Engineer with hands-on experience in LangGraph and agentic AI systems.

This role focuses on building production-grade AI agents and workflows on top of enterprise datasets and internal applications. The ideal candidate is execution-focused, experienced, and capable of delivering immediate impact.

Core Responsibilities

• Build and deploy AI agents using LangGraph

• Develop backend-heavy AI solutions using Python + FastAPI

• Implement:

RAG pipelines

Text-to-SQL systems

Prompt-engineered agent workflows

Business data summarization tools

• Integrate AI capabilities into existing enterprise applications

• Work with structured datasets (PostgreSQL)

• Collaborate closely with business teams and AI leadership

• Make necessary frontend updates when required (TypeScript)

Required Technical Skills

Backend (Primary Focus – Must Have)

Strong proficiency in Python

Experience with FastAPI

Strong SQL skills

  • Experience with PostgreSQL
  • API design & production system experience

AI / Agentic Frameworks (Critical)

• Hands-on experience with LangGraph

• Strong understanding of:

Agent orchestration

Prompt engineering

RAG architectures

Text-to-SQL pipelines

• Experience building production-ready AI agents

Frontend (Secondary)

  • Working knowledge of TypeScript
  • Ability to contribute to UI changes when required

Candidate Profile

  • Senior-level engineer (not entry-level)
  • Backend-heavy full stack profile
  • Proven experience in production AI systems
  • Fast learner with strong ownership mindset
  • Comfortable working in an embedded business model
  • Execution-focused (not research-only)

Apply