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Internship R Statistics Jobs in Hempstead, NY (NOW HIRING)

Costello Medical

Senior Statistician

New York, NY

$100K/yr

There may also be opportunities to line manage and mentor our Statistician Interns. Career ... in the Statistics team * An excellent understanding of and extensive experience in the R ...

Costello Medical

Senior Statistician

New York, NY · On-site

$100K/yr

There may also be opportunities to line manage and mentor our Statistician Interns. Career ... in the Statistics team * An excellent understanding of and extensive experience in the R ...

Initio Capital

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

... Internship, Casual Remote | New York, NY, United States Quantitative Analyst (Quant) - Initio ... Statistical Analysis & Machine Learning: Use advanced statistical methods and machine learning ...

Clever Devices Ltd.

Associate

Woodbury, NY · On-site

$70K - $75K/yr

Basic and educational level understanding of statistical programming (i.e. Python, R, SAS, MATLAB, etc). * Prior internship or other work experience in a corporate environment. * Basic understanding ...

Starr

AI/ML Engineer

Manhattan, NY · On-site

Required : • Master's degree in Statistics, Data Science, Mathematics, Computer Science ... Preferred : • Internship or project experience in AI engineering, machine learning, or a related ...

Hanwha Techwin America

Data Analyst Intern

Teaneck, NJ · On-site

This internship is an excellent opportunity for a student who is developing strong analytical and ... Currently pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related ...

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How much do internship r statistics jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship r statistics in Hempstead, NY is $18.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R Statistics Intern, and why are they important?

To thrive as an R Statistics Intern, a solid understanding of statistical concepts, data analysis, and proficiency in R programming—often supported by coursework in statistics or data science—is essential. Familiarity with data visualization tools, R packages like dplyr and ggplot2, and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These skills ensure accurate data-driven insights and smooth integration into research or analytics projects.

What types of projects or tasks can I expect to work on during an R Statistics internship?

As an R Statistics intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing large datasets, creating statistical models, and generating visualizations using R. You may collaborate closely with data scientists and other team members to support ongoing research, prepare reports, or assist in automating data workflows. Interns often have the opportunity to present their findings to the team and contribute to real-world decision-making processes, making this role a valuable learning experience for future careers in data analysis or statistics.

What are Internship R Statistics positions?

Internship R Statistics positions are internships that focus on using the R programming language for statistical analysis and data processing. These roles are typically aimed at students or recent graduates who want hands-on experience working with data, performing statistical modeling, and visualizing results using R. Interns may work in various industries, such as healthcare, finance, or technology, and often assist with tasks like data cleaning, exploratory data analysis, and report generation. These internships help participants develop practical skills in R, deepen their understanding of statistics, and prepare them for careers in data science or analytics.

What is the difference between Internship R Statistics vs Data Analyst?

AspectInternship R StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, data science, or related fieldBachelor's degree in statistics, data analysis, or related field; sometimes requires experience
Work EnvironmentInternship setting, often part-time or temporary, in tech, finance, or healthcare industriesFull-time role in various industries like finance, marketing, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level data tasks, often in tech and research sectorsEmployed by organizations to analyze data, generate reports, and support decision-making

Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.

What are popular job titles related to Internship R Statistics jobs in Hempstead, NY? For Internship R Statistics jobs in Hempstead, NY, the most frequently searched job titles are:
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Internship R Statistics jobs near you
Infographic showing various Internship R Statistics job openings in Hempstead, NY as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 16% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $37,432 per year, or $18 per hour.
Fall 2026 Psychology Adjunct Assistant Professor - Inferential Statistics

Fall 2026 Psychology Adjunct Assistant Professor - Inferential Statistics

St. John's University

Queens, NY • On-site

$1.91K/wk

Part-time

Posted 9 days ago

St. John's University rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

189th of 528 rated colleges and universities

Job description

Job Description
The Institution:
St. John's established in 1870, has two New York City campuses; international locations in Rome, Italy; Limerick, Ireland; and Paris, France; and study abroad locations around the world. The Princeton Review and other top rankings consistently recognize the University's outstanding academics, diverse student body, dynamic internship and volunteer opportunities, focus on student life, and diverse study abroad offerings. St. John's University offers more than 100 undergraduate and graduate programs in its six colleges and schools, with a growing number of programs offered online. The University is accredited by the Middle States Commission on Higher Education and 12 other major academic and professional associations.
Commitment to Inclusion:
As a Catholic and Vincentian university, St. John's is committed to institutionalizing practices of inclusive excellence to ensure that we welcome and celebrate the intrinsic worth of all members of our community. We will become an even stronger university as we enhance equity at every level of our institution. Our graduates will excel in the competencies and values required for leadership and service in a rapidly evolving world.
Division/Department Information:
The Department of Psychology exemplifies St. John's University's core values (Truth; Love; Respect; Opportunity; Excellence; and Service) and its Vincentian mission. The department is committed to academic excellence, operates in accord with accepted ethical principles and with respect for individual rights and dignity, is committed to service to the community, and demonstrates through its research, teaching, and clinical training an appreciation of the importance of cultural diversity.
The Psychology Department offers an undergraduate major and minor in Psychology. We also offer a combined B.A./M.A. in Psychology, as well as combined degrees with Criminology and Justice and Business Administration.
We also offer the following graduate programs:
  • Psychology (M.A.)
  • School Psychology (M.S.)
  • School Psychology (Psy.D.)
  • Clinical Psychology (Ph.D.)
  • Forensic Psychology (Certificate)

Responsibilities and Course Information:
PSY603 Inferential Statistics (Two sections)
  • This is a three-credit graduate course taken primarily by our MA students with a lab component (managed in collaboration with a Doctoral Fellow). This course will introduce students to experimental design and statistical procedures used to draw inferences from experimental data as well as how to successfully communicate experimental results.
  • Statistical theory is covered in the context of data analysis and interpretation in the behavioral sciences. Upon completion of this course students will be able to (a) recognize different experimental designs, (b) articulate, analyze, and interpret experimental data, including higher order interactions, (c) use statistical programming software to analyze experimental data, and (d) write statistical results using appropriate APA-style.
  • Meet students in person once per week for two hours to lecture on course topics. Administer and grade assignments and exams. Work collaboratively with lab instructor to develop skills using statistical software packages (R).

Qualifications:
  • Doctoral Degree in Psychology or related fields
  • Strong skills and knowledge about research design, implementation, and data analysis
  • High level writing and reasoning skills
  • Familiarity with CANVAS and R
  • Ideally the instructor will have taught a similar course previously

Application Process:
  • CV is required with Doctoral Degree completed (No ABDs)
  • Deadline = April 21, 2026
  • Contact = Dr Ernest Hodges, Psychology Chairperson (hodgese@stjohns.edu)

In compliance with NYC's Pay Transparency Act, the per credit salary for this position is $1,906. St. John's University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.
*Important Note- St. John's is NOT an E-Verify Employer*
Any offer of employment is subject to receipt by St. John's University of satisfactory references, verification of employment and education.
St. John's University is an Equal Opportunity Employer.All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, or any other characteristic protected by law

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