ZipRecruiter

Log In

1

Research Python Jobs in New York (NOW HIRING)

ingenium.agency

Python/Django Engineer

Manhattan, NY · Hybrid

Typescript/React, Python/Django, AWS, dbt Don't worry too much about having experience with the ... research. Our subscription intelligence platform gives investors, corporates, and governments the ...

Omniscient

Research Analyst

New York, NY · On-site +1

$70K - $85K/yr

Analyze large datasets (often hundreds of thousands of data points) using Python, R, or similar ... Deliver research insights and data visualization in digestible, understanding, and shareable ...

MerQube Inc

Research Analyst

New York, NY

Research, develop, and continuously improve implied volatility and pricing frameworks for options ... Translate that modeling expertise into production-ready indices. strategies using Python, with a ...

MerQube Inc

Research Analyst

New York, NY · On-site

Research, develop, and continuously improve implied volatility and pricing frameworks for options ... Translate that modeling expertise into production-ready indices. strategies using Python, with a ...

Seven Research

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

Strong programming skills, including mastery of Python for data analysis * Knowledge of statistical and machine learning modeling frameworks * Strong problem-solving skills and research acumen

Seven Research

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

Strong programming skills, including mastery of Python for data analysis * Knowledge of statistical and machine learning modeling frameworks * Strong problem-solving skills and research acumen

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Strong programming skills, including mastery of Python * Strong problem-solving skills and research acumen * Strong communication skills to articulate complex technical concepts * Experience working ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Strong programming skills, including mastery of Python * Strong problem-solving skills and research acumen * Strong communication skills to articulate complex technical concepts * Experience working ...

New York University

Research Scholar

New York, NY · On-site

$50K/yr

Previous experience on computer programming in Python is desired. Salary: In compliance with NYC ... strong research experience comparable to a PhD degree. Candidates will be required to present ...

ATG intelligence

Research Scientist

New York, NY · On-site

$200K - $300K/yr

Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). * Ability to turn theory into robust, practical code. * Up-to-date on the latest research in LLMs from reading papers, articles ...

next page

Showing results 1-20

All JobsResearch Python JobsResearch Python Jobs in New York

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 New York? For Research Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in New York look for? The top searched job categories for Research Python jobs in New York are:
What cities in New York are hiring for Research Python jobs? Cities in New York with the most Research Python job openings:
Research Python jobs near you
Campus AI Research Engineer - Research Automation (Intern)

Campus AI Research Engineer - Research Automation (Intern)

Jump Trading

New York, NY • On-site

$300K/yr

Other

Posted 4 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.  

What You'll Do: 

  • Apply state-of-the-art techniques to complex and challenging domains. 
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial ML. 
  • Optimize training pipelines to make the best use of our HPC resources. 
  • Integrate ML models into production systems where latency matters. 
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages. 
  • Build large-scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research. 
  • Other duties as assigned or needed. 

Skills You'll Need: 

  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research 
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) 
  • Solid development skills in Python and/or C++ 
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow 
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook 
  • Ability to thrive in a collaborative, team-oriented environment 
  • Ability to reason through quantitative problems and communicate effectively with trading researchers 
  • Reliable and predictable availability 

Bonus Points: 

  • Experience with HPC and distributed large model training 
  • Experience with GPU performance optimization (CUDA or ROCm) 
  • Experience with end-to-end model development 
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure 

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. 

The estimated base salary for this role (annualized) is $300,000 per year. 

Apply