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Research Python Jobs in Austin, TX (NOW HIRING)

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ... Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics ...

... Python and PyTorch, with the ability to rapidly prototype and evaluate research ideas • A research mindset: curiosity, rigor, and the ability to explore and discard ideas efficiently Preferred ...

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

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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 Aug 25, 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.

What are the key skills and qualifications needed to thrive as a Research Python developer?

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.

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.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

What cities near Austin, TX are hiring for Research Python jobs?

Cities near Austin, TX with the most Research Python job openings:

Infographic showing various Research Python job openings in Austin, TX as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.

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

Motion Recruitment Partners, LLC

Austin, TX • On-site

$49.75 - $68.50/hr

Other

Medical, Dental, Vision, Retirement

Posted 23 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
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