1

Research Python Jobs in Denver, CO (NOW HIRING)

Software Engineer

Englewood, CO · On-site

$85K - $152K/yr

At Rincon Research Corporation, our primary business is innovating, developing, and fielding ... Proficient in C++ and Python in LINUX environments * Demonstrated ability to design software ...

Database/Web Engineer

Englewood, CO · On-site

$85K - $113K/yr

At Rincon Research Corporation, our primary business is innovating, developing, and fielding ... Proficient in C++ and Python in LINUX environments * Proficient in SQL and/or NoSQL, JavaScript ...

next page

Showing results 1-20

Research Python information

See Denver, CO salary details

$13

$60

$88

How much do research python jobs pay per hour?

As of Jul 15, 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.

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 Denver, CO? For Research Python jobs in Denver, CO, the most frequently searched job titles are:
Senior Analyst - North American E&P Research & Insights

Senior Analyst - North American E&P Research & Insights

Factset

Lakewood, CO • On-site

$116K - $116K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.


At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.


Your Team's Impact

FactSet's Deep Sector Oil & Gas team delivers critical fundamental analysis and sector-specific content to a diverse client base including investment banks, private equity firms, commodity traders, oil and gas producers, and midstream operators. We drive innovation by developing market-relevant analytics and industry-leading data solutions that address today's and tomorrow's energy challenges.

What You'll Do

    You will join a team of upstream oil and gas subject matter experts, data scientists, and software engineers dedicated to transforming operator intelligence and asset-level data into actionable industry insights. In this role, you will maintain a sharp focus on upstream operator performance, acreage holdings, infrastructure developments, M&A activity, and oilfield technology advancements. The ideal candidate is equally comfortable querying and analyzing large datasets as they are crafting clear, compelling narratives for a sophisticated client audience.

    Responsibilities:

    • Monitor North American E&P developments through industry news, press releases, investor presentations, and regulatory filings.
    • Analyze upstream oil and gas activity to identify key trends, operational shifts, and emerging market developments.
    • Author timely, well-crafted research reports and client commentary covering E&P trends, upstream activity, and production patterns.
    • Produce maps and shapefiles to clearly visualize acreage holdings, operational activity, and infrastructure developments.
    • Collaborate with software engineers to drive data and product development, contributing subject matter expertise to enhance analytical tools.
    • Deliver forward-looking forecasts and analysis tailored to a diverse, sophisticated client base.

    What We Are Looking For

    Minimum Qualifications:

    • Bachelor's degree in Petroleum Engineering, Geology, Mineral & Energy Economics, Energy Management, or a related STEM field.
    • 3-5 years of experience in the upstream oil and gas industry.
    • Demonstrated ability to write insightful, timely research - you can translate complex data into clear, compelling narratives under deadline.
    • Strong proficiency in SQL and GIS software, with working knowledge of Python for data interrogation and analysis.
    • Experience contributing to research reports, technical publications, or client-facing analytical products.
    • Ability to work both independently and collaboratively in a fast-paced, team-oriented environment.
    • Must be legally authorized to work in the United States without need for employer sponsorship, now or in the future.

    Preferred Qualifications:

    • Experience with oil and gas market fundamentals, including supply and demand dynamics, pricing trends, and production patterns.
    • Comfort incorporating AI tools into research workflows to improve efficiency and output quality.

    Why Life is Better as a FactSetter:

    • Secure your future with our discounted employee stock purchase program and 401K matching.
    • 3 weeks paid time off your first year of employment.
    • No or low-cost medical, dental and vision care.
    • Reimbursement for eligible expenses related to the CFA, CIPM, CAIA and FRM exams.
    • Wellness programs including gym discounts and more.
    • 16 weeks paid parental leave for the primary caregiver (4 weeks for secondary).
    • Employee referral bonuses.

    What's In ItForYou

    At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being aFactSettermeans:

    • The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
    • Support foryour total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, and family leave.
    • Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
    • A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
    • Career progression planning with dedicated time each month for learning and development.
    • Business Resource Groupsopento all employees that serve as a catalyst for connection, growth, and belonging. Learn more about our benefitshere.

    Salary is just onecomponentof our compensation package and is based on several factors including but not limited to education, work experience, and certifications.

    The budgeted salary range for this position in the State of Colorado is $95,000 - $120,000.

    Company Overview:

    FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more atwww.factset.comand follow us onXandLinkedIn.

    At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify