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

New York University

Research Scholar

New York, NY · On-site

$48K - $62K/yr

Description RESEARCH SCHOLAR New York University Tandon School of Engineering The Department of ... Python Programming: Write, test, and maintain Python scripts and modules to support robot control ...

BC Forward

Senior Python Developer

Jersey City, NJ · On-site

$68.25/hr

Senior Python Developer Location: Jersey City, NJ Duration: Contract - 12 months Pay Range: $68.25 ... researcher and/or developer, with ability to analyze complex domain data. 3+ years in REST services ...

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All JobsResearch Python JobsResearch Python Jobs in East Rutherford, NJ

Research Python information

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How much do research python jobs pay per hour?

As of Aug 9, 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.

Is Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

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 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.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

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 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

Research Engineer, Operations

Basis Research

New York, NY • On-site

Full-time

Re-posted 18 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research Engineers in Operations at Basis build the internal tooling, automation, and measurement systems that multiply researcher productivity and operational efficiency. You will create tools that save hours of manual work, automate proposal and CRM workflows, and provide analytics that inform strategic decisions as Basis scales.
We are looking for people who excel technically and understand research workflows deeply enough to identify high-leverage automation opportunities. The ideal Research Engineer has experience translating research ideas into robust code, building LLM-powered automation systems, and creating tools that researchers actually want to use. You will build everything from researcher productivity tools to GTM automation to analytics infrastructure.
This role is critical to Basis's scaling strategy. You will be among the first to transform Basis operations from manual processes to automated systems that enable growth without diminishing returns.
We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to build rigorous, high-quality, robust tools, unafraid to tinker, make mistakes, and explore radically different ideas to achieve this.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy enabling others to accomplish work at scales they couldn't reach alone.
We expect you to:
  • Possess excellent programming and software engineering skills, especially in Julia, Python, C++, ML-family languages. Have demonstrated the ability to drive software projects from start to finish.
  • Be comfortable digesting research from PL and/or ML venues, such as PLDI, POPL, NeurIPS, or ICML. Progress with a high degree of autonomy and under uncertainty.
  • Have experience with LLM-powered automation, including using language models (OpenAI API, Anthropic Claude, LangChain) for intelligent automation, workflow orchestration, and agent-based systems.
  • Have demonstrated significant technical achievements within ML engineering. Examples include:
    • You've implemented variants of newly published techniques from scratch
    • You build systems and workflows for training large models distributed across many machines
    • You've built systems that span all levels of the programming stack from high-level API infrastructure to close-to-the-metal code
  • Understand research and operational workflows well enough to identify high-impact automation opportunities. You might have worked in research environments, built productivity tools, or supported technical teams through infrastructure.
  • Be skilled at user-centric design for internal tools. You naturally seek user feedback, iterate based on real usage, and measure success by adoption and time saved rather than technical sophistication.
  • Be excited about force-multiplying impact. The tools you build might not be externally visible, but they enable Basis to solve intractable problems at scales we couldn't otherwise reach.
Responsibilities:
  • Build researcher productivity tools including experiment tracking, literature research automation, computational environment management, and integration with existing research workflows.
  • Develop GTM and business operations automation including CRM systems, pipeline management, proposal generation, contract tracking, and customer communication workflows.
  • Create analytics and measurement infrastructure providing visibility into research progress, operational metrics, resource utilization, and progress toward strategic objectives.
  • Automate operational processes for recruiting (candidate tracking, scheduling, communication), marketing (content generation, social media, events), and cross-functional workflows that currently require manual coordination.
  • Build internal APIs and integrations connecting various systems (Notion, Linear, email, calendars, Slack) to create seamless workflows and eliminate manual data transfer.
  • Implement AI/LLM-powered tools leveraging latest capabilities in language models, retrieval-augmented generation (RAG), and agent orchestration to create intelligent automation.
  • Translate research ideas into correct, robust, and scalable high-quality code, engaging in performance engineering and scaling research code.
  • Contribute to the culture and direction of Basis by modeling technical excellence in internal tools, continuous improvement mindset, and focus on enabling high-leverage work.
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: Full-time.
  • In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: New York City.
  • Salary range: Competitive salary.

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
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