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Research Python Jobs in Texas (NOW HIRING)

Software Engineer / Python

Dallas, TX · On-site +1

$46.25 - $63.75/hr

This includes participation in research discussions, requirements gathering, application and ... Implement high performance, scalable and reliable software solutions in Python on Linux or Windows ...

Python Data Engineer Introduction We are looking for a talented and motivated Python Data Engineer ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

The research scientist will conduct independent experimental studies and manage research projects ... Advanced computational and modeling in colloidal assemblies using MATLAB, Python, COMSOL, and image ...

The research scientist will conduct independent experimental studies and manage research projects ... Advanced computational and modeling in colloidal assemblies using MATLAB, Python, COMSOL, and image ...

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Research Python information

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 in Texas are hiring for Research Python jobs? Cities in Texas with the most Research Python job openings:
Software Engineer / Python

Software Engineer / Python

Cambium Learning Group

Dallas, TX • On-site, Remote

$46.25 - $63.75/hr

Full-time

Re-posted 5 days ago


Cambium Learning Group rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

19th of 209 rated software companies


Job description

Thank you for sharing your interests! Here at Cambium, we are always looking for passionate, talented people to join the team. If you have searched our current openings and haven't been able to find a position that fits, we'd still love to hear from you! Please take a look at the below and fill out an application here. As soon as we have a similar opening that fits your skill set, we will reach out. We look forward to learning your interests!
Job Overview:
The right candidate will have the skills needed to perform full life-cycle software development to take research ideas and initiatives from concept/prototype to production quality software. This includes participation in research discussions, requirements gathering, application and database design, system documentation, writing and unit-testing efficient code, and deployment.
Job Responsibilities:
  • Implement high performance, scalable and reliable software solutions in Python on Linux or Windows platforms
  • Develop and deploy synchronous and asynchronous REST API web services using Python frameworks
  • Develop effective methods of ML model testing during all stages: development, deployment, and recalibration
  • Train machine learning models, analyze performance metrics, and communicate results with visual and statistical aids
  • Analyze, visualize, and summarize large multidimensional datasets
  • Utilize best practices for software development of high performance systems around design, coding, automated unit and regression testing and deployment

What we are often looking for:
  • Bachelor's degree in Computer Science or related field and 2+ years professional software development experience
  • Extensive experience with Python and python frameworks (e.g. CherryPy, Bottle, Flask, Django)
  • Solid experience with multithreading and multiprocessing in Python on Linux and Windows platforms
  • Solid SQL and querying databases through Python (e.g. pyodbc)
  • Tools and frameworks for testing (unittest, pytest) and software versioning (Bitbucket)
  • Self-starter, independent thinker and worker
  • Excellent analytical skills
  • Highly detail-oriented
  • Good communication skills
  • Ability to work well on a team as well as independently

An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

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