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Python R Jobs in New York (NOW HIRING)

Quanta Search

Jr. Quantitative Developer

Manhattan, NY

$73K - $95K/yr

Python, R, and possibly Matlab Firm grasp of data structures and algorithms and knowledge of their computational tradeoffs Knowledge and experience of basic options pricing theory Knowledge and ...

Odesus

Research Analyst

New York, NY · Hybrid

$30 - $35/hr

Experience and familiarity with programming languages (SQL, Python, R) that can be used to conduct data analyses is a plus * Bachelor's degree or higher * SQL and Python experience (not required)

New

ADP

Lead Data Scientists

Roseland, NJ · On-site

$122K - $222K/yr

Prog langs, incl Python, R or SQL; Data manip & mdlng incl ETL, Linear & Logistic Rgrssion Mdlng, Dcsion Tree & Rndm Forst Mdling, & Churn Analytics; Big Data & cloud srvcs (e.g., AWS); Data ...

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How much do python r jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for python r in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a Python R job?

A Python R job typically involves working with both Python and R programming languages for data analysis, machine learning, and statistical computing. Professionals in this role use Python for automation, data engineering, and machine learning, while leveraging R for statistical modeling and data visualization. These roles are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Candidates for this job should have expertise in both languages, along with skills in data manipulation, visualization, and algorithm development.

What are the key skills and qualifications needed to thrive in the Python R position, and why are they important?

To thrive as a Python R professional, you need a strong background in programming, data analysis, and statistical modeling, typically holding a degree in computer science, statistics, mathematics, or a related field. Proficiency in Python and R programming languages, alongside experience with data visualization tools (e.g., Matplotlib, ggplot2) and statistical packages, is essential; certifications like Data Science or Analytics credentials are often advantageous. Excellent problem-solving abilities, attention to detail, and clear communication skills help in collaborating with teams and conveying complex results. These combined skills enable effective data-driven decision-making, efficient workflow, and impactful data solutions.

What are the typical responsibilities of a professional working with both Python and R programming languages?

Professionals leveraging both Python and R often handle a variety of data-centric tasks, including data cleaning, analysis, statistical modeling, and visualization to support business or research objectives. Daily responsibilities can range from developing machine learning models in Python, creating reproducible analyses in R, to integrating outputs for reporting and presentations. Collaboration with data engineers, domain experts, or business stakeholders is common, requiring effective communication to translate technical insights into actionable recommendations. Familiarity with both languages allows for flexibility in choosing the best tools for each project, making these roles both challenging and rewarding.
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Python R jobs near you
Infographic showing various Python R job openings in New York as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $133,398 per year, or $64.1 per hour.
Python Image Analysis programmer

Python Image Analysis programmer

Intellyk

Tarrytown, NY • Hybrid

Other

Posted 28 days ago

Job description

Role: Python Image Analysis programmer (Clinical Imaging Informatics Programmer)

Location: Tarrytown, NY (Day 1 Onsite /Hybrid)

Job description:

  • Imaging informatics programmer, familiar with imaging informatics tools and environments such as DICOM, Nifti, E2E, PACS, Flywheel etc
  • Familiarity with imaging data headers and meta data; familiarity with imaging operational reports and tracking requirements; familiarity with developing databasing and WebApps tools such as SQL, R-Shinny, DataIKU etc
  • Familiarity with Database administration, such as DB tables maintenance, optimization, indexing, creating views/stored procedures based on project requirements.
  • Python data science skills for data manipulation, web frameworks, visualization, and Machine Learning.
  • Develop and deploy imaging data collection and analysis monitoring database and build Web Apps (such as Shinny App) to allow tracking of the operation and data quality

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