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Research Python Jobs in Colorado (NOW HIRING)

Whiterabbit.ai

Fluency with a deep learning framework and Python Nice to Have Experience * Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML ...

New

Whiterabbit.ai

Fluency with a deep learning framework and Python Nice to Have Experience * Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML ...

New

Anduril Industries

Senior Research Scientist

Broomfield, CO

$99K - $126K/yr

Experience coding languages with Rust, C++, and Python. * A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas: * Applied ...

Anduril Industries

Senior Research Scientist

Fort Collins, CO · On-site

$98K - $125K/yr

... Python. • A Research Scientist should have a record of academic excellence, including demonstrated experience in most of the following areas: Applied Mathematics: differential equations, linear ...

JLL

Senior Analyst, Research

Denver, CO

$119K - $119K/yr

The Senior Analyst, Research will support the commercial leasing and capital markets brokerage ... Preference for persons with background in statistics and python that can evaluate large data sets ...

Mercer Advisors

Senior Research Manager

Denver, CO · On-site +1

The Senior Research Manager is a key contributor within Mercer Advisors' Portfolio Management Group ... R, Python, SQL, and/or Microsoft VBA). * Experience in data management, including working with ...

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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 are popular job titles related to Research Python jobs in Colorado? For Research Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Colorado look for? The top searched job categories for Research Python jobs in Colorado are:
What cities in Colorado are hiring for Research Python jobs? Cities in Colorado with the most Research Python job openings:
Research Python jobs near you
NIST PREP Postdoctoral Research Associate for Analysis of Real-World Mid-Band Aggregate Cellular Net

NIST PREP Postdoctoral Research Associate for Analysis of Real-World Mid-Band Aggregate Cellular Net

Southeastern Universities Research Association

Boulder, CO • On-site

$82K - $110K/yr

Full-time

Re-posted 25 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Analysis of Real-World Mid-Band Aggregate Cellular Network Emissions
The work will entail:Conduct applied research implementing and developing data analysis methods for large, high-quality datasets of mid-band (3 GHz - 4 GHz) radio frequency (RF) spectrum measurements of deployed 4G and 5G cellular networks. New data analysis methods and insights resulting from this position will help improve models for aggregate RF emissions, interference assessments, and deployments of cellular networks. Position will require in-person work at NIST in Boulder, Colorado.
Key responsibilities will include but are not limited to:
  • Implement advanced data analysis and data visualization methods in python.
  • Work with NIST research scientists to extract meaningful insights from data.
  • Research into novel data analysis methods.
  • Prepare software and data for publication.
  • Prepare manuscripts suitable for peer-reviewed publication.
  • Present findings at academic conferences and stakeholder meetings.

Qualifications
  • U.S. Citizenship
  • PhD in Electrical Engineering, Computer Science, Data Science, Statistics, Applied Mathematics, Physics, or closely related field received within the last 5 years.
  • Excellent programming skills in python, including familiarity with the Pandas and NumPy libraries.
  • Ability to work effectively in a collaborative research environment.
  • Ability to generate independent research ideas.
  • Strong oral and written communication skills.
  • Preferred: Experience with application of advanced data analysis or machine learning methods to large datasets.
  • Preferred: Strong background in statistics.
  • Preferred: Strong background in signal processing.
  • Preferred: Strong background in machine learning.
  • Preferred: Familiarity with fundamentals of wireless communication systems.
  • Preferred: Basic understanding of electromagnetic propagation and radio frequency engineering.
  • Preferred: Track record of successful peer-reviewed publications.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003772

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