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Internship Remote Statistical Programmer Jobs in Bronx, NY

... applied statistics/ML to real product and risk questions, working closely with engineers and ... Remote - this client is based in NYC and would love to find a candidate in the NY area who can come ...

... remote work environment. Responsibilities: * Collect and analyze data to identify trends and ... Pursuing a degree in Data Science, Statistics, Mathematics, Economics, or related field. * Strong ...

... applied statistics/ML to real product and risk questions, working closely with engineers and ... Remote - this client is based in NYC and would love to find a candidate in the NY area who can come ...

Showing results 21-40

Internship Remote Statistical Programmer information

See Bronx, NY salary details

$88K

$153.4K

$259.4K

How much do internship remote statistical programmer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for internship remote statistical programmer in Bronx, NY is $153,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $166,700.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What types of projects and responsibilities can I expect as a remote statistical programmer intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What are the key skills and qualifications needed to thrive as an internship remote statistical programmer?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.

What is the difference between Internship Remote Statistical Programmer vs Remote Data Analyst?

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What are popular job titles related to Internship Remote Statistical Programmer jobs in Bronx, NY?

For Internship Remote Statistical Programmer jobs in Bronx, NY, the most frequently searched job titles are:

What cities near Bronx, NY are hiring for Internship Remote Statistical Programmer jobs?

Cities near Bronx, NY with the most Internship Remote Statistical Programmer job openings:

Quantitative Developer - Internship - Summer 2027

InfiniteQuant

New York, NY โ€ข On-site, Remote

$6.0K - $10K/mo

Full-time, Temporary, Internship

Posted 24 days ago


Job description

Company Description
InfiniteQuant is a global quantitative trading and technology company.
As a privately owned proprietary trading firm, we research, develop, and deploy high-frequency quantitative trading strategies across global financial markets.
Our entire technology stack, from market data infrastructure and research platforms to simulation engines, execution systems, and trading strategies, is built in-house.
Our high-frequency trading strategies generate hundreds of millions of order messages daily across thousands of symbols on major electronic exchanges. We maintain a multi-year archive of historical tick-by-tick market data, powering quantitative research, simulation, and strategy development.
Website: www.infquant.com
LinkedIn: linkedin.com/company/infinitequant
Job Description
InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates.
We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options.
Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field.
Responsibilities
  • Collaborate with the infra team to design, develop, and maintain high-frequency trading systems
  • Work with quants and traders to implement optimized code from ideas/prototypes
  • Contribute to the data pipeline, simulators, and monitoring software

Benefits
  • Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training.
  • US/UAE (Dubai) working visa sponsorship for qualified candidates if needed.
  • Career workshop.
  • Team outing event and team dinner.
  • Earn performance-based bonus.
  • Corporate swag.
  • Well-stocked office kitchen.

Salary Range
$6,000-$10,000 per month
Location
  • US: Downtown Manhattan, New York
  • UAE: Jumeirah Lakes Towers (JLT), Dubai
  • HK (Hong Kong)

Interview Process
The interview process includes a few rounds with Quants, a coding test, and concludes with a final interview.
Other Frequently Asked Questions & Answers
Please refer to Google Doc https://drive.google.com/file/d/1EhoCCfqRnrNC8S5lbx6x49JulW970-V9/view?usp=sharing
Qualifications
  • Candidates must pursue or hold a Bachelor's Degree or higher in a CS related degree.
  • Strong knowledge of C++ and Python
  • Experience with trading firms, hedge funds, exchanges, or global banks is a plus.
  • Understand the mindset of Quant Researcher and Software Development Engineer is a plus.
  • Understand the logic of matching engine and simulator/backtester is a plus.

Additional Information
InfiniteQuant LLC is an Equal Employment Opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military and veteran status, and any other characteristics protected by applicable law. We seek to recruit, develop, and retain the most talented and qualified applicants from a diverse candidate pool.