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Research Python Jobs in Austin, TX (NOW HIRING)

Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests ... A solid understanding of the research workflow: experimental design, hypothesis formulation ...

Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests ... A solid understanding of the research workflow: experimental design, hypothesis formulation ...

Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests ... A solid understanding of the research workflow: experimental design, hypothesis formulation ...

... Python and ML frameworks such as PyTorch, TensorFlow, or JAX • Experience building datasets ... research tasks • Effective communication skills for presenting research findings to diverse ...

Software Engineer - Hardware Research

Austin, TX · On-site

$203K/yr

Proficiency in Python, including familiarity with libraries and APIs * Comfortable conducting research and data analysis in Python using Jupyter Notebooks * Experience writing software in C/C+

Software Engineer - Hardware Research

Austin, TX · On-site

$203K/yr

Proficiency in Python, including familiarity with libraries and APIs * Comfortable conducting research and data analysis in Python using Jupyter Notebooks * Experience writing software in C/C+

We are seeking a highly motivated and skilled Research Associate I to join our dynamic team in the ... Experience in SQL, Python is a plus Working Conditions: * This position involves working in a ...

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Research Python information

See Austin, TX salary details

$13

$58

$85

How much do research python jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for research python in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 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.
What cities near Austin, TX are hiring for Research Python jobs? Cities near Austin, TX with the most Research Python job openings:
Python Architect / Python, API, Flask / Typescript / CI/CD, SQL / AWS / Fafka

Python Architect / Python, API, Flask / Typescript / CI/CD, SQL / AWS / Fafka

Motion Recruitment

Austin, TX • On-site

$49.75 - $68.75/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


Job description

Our client is a software and consulting company with long-standing client relationships and an emerging products division. Their primary expertise is in application development, data visualization, Information Technology (IT), and Their clients include large financial firms, utilities and Federal customers.
As a Python Architect, you will designing a client reporting platform that seamlessly integrate fixed income analytic models, large datasets, and proprietary research. These tools support real-time portfolio decisions and risk monitoring, with an emphasis on intuitive UI/UX and efficient integration across internal and external systems
THIS POSITION MUST BE ONSITE 5 DAYS A WEEK IN AUSTIN TX, 5 DAYS A WEEK
 IM NOT ABLE TO WORK C2C WITH ANOTHER COMPANY AND YOU MUST BE A GREENCARD HOLDER OR US CITIZEN. NO SPONSHOIRSHIP AVAILABLE
Key Responsibilities:
  • Build and maintain reporting templates using Python, pandas, and SQL..
  • Write and optimize SQL queries for PostgreSQL.
  • Design RESTful APIs with FastAPI/Flask.
  • Implement caching using Redis.
  • Manage CI/CD pipelines (e.g., GitHub Actions).
  • Utilize AWS services (Lambda, S3) for orchestration.
  • Troubleshoot and optimize cloud services performance.
  • Collaborate with cross-functional teams.
Required Skills:
  • 6+ years of experience with core Python programming.
  • Proficiency in pandas for data manipulation.
  • SQL experience with PostgreSQL.
  • Experience in REST API development.
  • Knowledge of markup languages (HTML/XML).
  • Basic understanding of Redis or caching.
  • Familiarity with Git and CI/CD tools.
Nice to Have:
  • Experience within the financial industry and fixed income or bnds is a huge plus but not a ust have
  • AWS experience (Lambda, S3, CloudWatch).
  • Experience with CI/CD pipelines (Jenkins, GitHub Actions).
  • Docker experience.
  • Experience in financial data or client reporting.
The Offer :
  • 65-85/hr 40/hrs a week
  • Medical, Dental, Vision
  • Optional 401k
  • Ability to go fulltime after contract