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Python R Jobs in New York (NOW HIRING)

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning techniques, causal models, etc. to support the analysis of information * Advanced presentation and ...

Directors

Manhattan, NY · On-site

$145K - $175K/yr

Must have experience working with the following: querying and analyzing data using SQL, Python, R, Stata, and SAS; querying and analyzing data in cloud-based environments such as Snowflake ...

Directors

Manhattan, NY

$145K - $175K/yr

Must have experience working with the following: querying and analyzing data using SQL, Python, R, Stata, and SAS; querying and analyzing data in cloud-based environments such as Snowflake ...

Must have experience working with the following: querying and analyzing data using SQL, Python, R, Stata, and SAS; querying and analyzing data in cloud-based environments such as Snowflake ...

... with Python, R, or other scripting languages for data automation is an advantage. Preferred Qualifications: • Background in business intelligence (BI) strategy and implementation. • Strong ...

... with Python, R, or other scripting languages for data automation is an advantage. Preferred Qualifications: • Background in business intelligence (BI) strategy and implementation. • Strong ...

Proficiency in data engineering tools such as Python, R and SQL for data processing as well as cloud architecture (e.g. AWS services, Redshift, FSx, Glue, Lambda. * Experience with unstructured ...

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Python R information

See New York salary details

$14

$64

$94

How much do python r jobs pay per hour?

As of Jun 26, 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 jobs can you get with R programming?

Jobs that require R programming include data analyst, data scientist, statistical programmer, and research analyst roles. These positions often involve data analysis, statistical modeling, and visualization, and may require knowledge of related tools like RStudio and SQL.

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.

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.

Can I learn R after Python?

Python and R are both popular programming languages for data analysis and statistical computing. Learning Python first can provide a strong foundation in programming concepts, which can make learning R easier later. Many data analyst and data scientist roles require proficiency in both languages, and knowing both can enhance job prospects and flexibility in handling different projects.

Which pays more, C++ or Python?

For Python R developers, salaries generally depend on experience, location, and industry. C++ developers often earn higher salaries due to the language's complexity and demand in systems and embedded programming, but Python roles are increasingly lucrative, especially in data science and automation. Overall, C++ roles tend to pay more on average, but Python skills can lead to competitive compensation in high-demand fields.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for data analysts, developers, and data scientists in 2026, with widespread use in machine learning, automation, and web development. Its versatility, extensive libraries, and strong community support contribute to ongoing job opportunities for Python professionals.
Infographic showing various Python R job openings in New York as of June 2026, with employment types broken down into 74% Full Time, and 26% 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.

Biology & Python Expert - Freelance AI Trainer

Mindrift

New York, NY • On-site

$76/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original computational biology problems that simulate real biology research workflows;
  • Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython);
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
  • Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling;
  • Base problems on real research challenges or practical applications from biology practice;
  • Verify solutions using Python with standard computational biology libraries;
  • Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for biology specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

  • Degree in Biology or related fields;
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Experience with biological data analysis and algorithms;
  • Familiarity with bioinformatics tools and computational methods;
  • Strong written English (C1+).

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.