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Research Python Jobs in Denver, CO (NOW HIRING)

Python QA Rust Important: if an employer asks you to log into their system via iCloud or Google ... Our research endeavors don't end once we've published papers; our work is complete when our ...

Research Scientist

Brighton, CO · On-site

$85K - $105K/yr

Position Overview Zero Carbon Systems seeks a Research Scientist to support research to develop ... Data workup skills using Excel templates or existing Python scripts * Strong organizational and ...

Research Scientist

Brighton, CO · On-site

$85K - $105K/yr

Position Overview Zero Carbon Systems seeks a Research Scientist to support research to develop ... Data workup skills using Excel templates or existing Python scripts * Strong organizational and ...

Showing results 21-40

Research Python information

See Denver, CO salary details

$13

$60

$88

How much do research python jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for research python in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 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 are popular job titles related to Research Python jobs in Denver, CO?

For Research Python jobs in Denver, CO, the most frequently searched job titles are:

Senior Advanced Research Scientist

Broomfield, CO • On-site

$190K - $252K/yr

Other

Posted 7 days ago


Job description

Python QA Rust

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

Anduril’s Research Scientists excel at developing state-of-the-art algorithms and software that solve scientific problems with real-world applications. Working in small, innovative teams, our research scientists create impactful solutions that make a difference. Our research endeavors don’t end once we’ve published papers; our work is complete when our technology is deployed in mission-critical systems, ensuring success for our customers in government and industry. Join us in our mission to expand the boundaries of what’s possible!

WHAT YOU WILL DO
  • Drive rapid prototyping initiatives for advanced R&D projects, focusing on specialized algorithm development in the context of radar systems, video sensors, space-based sensing, and Command and Control (C2) systems.
  • Utilize high-fidelity modeling and simulation toolsto assess and quantify the impact of innovative technologies on system performance.
  • Collaborate with cross-disciplinary teams to ensure seamless integration of software and hardware, optimizing system functionalities for radar systems.
  • Implement rigorous software quality assurance processes, using various testing methodologies to ensure reliability and efficiency of developed solutions.
  • Engage with stakeholdersto align R&D outcomes with mission-critical objectives, ensuring optimal performance and operational success.
  • Mentor junior team members, fostering a culture of innovation and continuous improvement within the team.
REQUIRED QUALIFICATIONS
  • An M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Physics, Statistics and Probability, or a related field.
  • 2+ years of professional experience in embedded software/firmware engineering.
  • Strong foundation in applied mathematics, including probability theory, optimization theory, linear algebra, and numerical analysis.
  • Familiarity with functional programming languages (e.g., C/C++, Julia, Rust, Python, CUDA).
  • Demonstrated experience in scientific computing, including algorithm implementation, optimization methods/theory, probabilistic/stochastic models, graphical models.
  • Knowledge ofdigital signal processing (DSP)andimage processing, as well as controls and estimation theory.
  • Excellent written and verbal communication skills to convey complex technical concepts to diverse audiences.
  • Adept at problem identification and principled approaches to problem formulation and solution.
  • Effective data analysis, deep-diving, trouble-shooting.
  • Open-minded, creative, imaginative.
  • Agile learner.
  • Enthusiastic collaboration, energized by driving team success.
  • Ability to obtain and maintain a U.S. TS/SCI security clearance.
PREFERRED QUALIFICATIONS
  • Experience with either radar signal processing or image processing.
  • Experience inGPU programming(CUDA programming) and rapid prototyping.

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

US Salary Range$190,000—$252,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.

For more information, Explore Our Benefits .

Data Privacy

To view Anduril's candidate data privacy policy, please visit .

By submitting your application, you consent to using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk‑intelligence services that may include analysis of sanctions and watchlists, adverse media, public‑record information, and other lawful open‑source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

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