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Research Python Jobs in East Rutherford, NJ (NOW HIRING)

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 ...

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 ...

Seven Research

Quantitative Researcher

New York, NY

$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

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Research Python information

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$13

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How much do research python jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for research python in East Rutherford, NJ is $59.73, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $67.84 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 cities near East Rutherford, NJ are hiring for Research Python jobs?

Cities near East Rutherford, NJ with the most Research Python job openings:

Research Python jobs near you

Campus AI Research Engineer - Research Automation (Intern)

Jump Trading

New York, NY

$300K/yr

Full-time, Internship

Re-posted 24 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