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Statistical Programmer Part Time Jobs (NOW HIRING)

The Pennsylvania State University

$16/hr

Experience in statistical programming (R, Unix, Linux, etc.) is recommended. Experience or past training in epidemiology is not necessary but viewed positively. The research project the successful ...

The Pennsylvania State University

The Department of Industrial and Manufacturing Engineering, College of Engineering, seeks to fill ... CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

The Pennsylvania State University

... Engineering Design and Innovation is seeking applicants for part-time job of graduate student ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

The Pennsylvania State University

$15 - $19/hr

... part-time positions in each of its programs which include: * Engineering Design Programs ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

The Pennsylvania State University

$16 - $22/hr

... Industrial Engineering professor is seeking Penn State students to work as part-time research ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

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How much do statistical programmer part time jobs pay per year?

As of Jun 20, 2026, the average yearly pay for statistical programmer part time in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are Statistical Programmers (Part Time)?

Statistical Programmers (Part Time) are professionals who use specialized software, such as SAS, R, or Python, to manage, analyze, and report on data, often in fields like healthcare, pharmaceuticals, or research. Working part-time, they may assist with data cleaning, creating statistical reports, or supporting clinical trials, depending on the employer. Their work ensures that large and complex datasets are accurately processed and results are clearly communicated to stakeholders, even while working fewer hours than full-time staff.

Will AI replace SAS programmers?

AI tools can automate some tasks performed by SAS programmers, such as data processing and basic analysis, but they are unlikely to fully replace skilled professionals. SAS programmers with expertise in complex statistical analysis, programming, and interpreting results will continue to be valuable, especially as AI tools often require human oversight and domain knowledge.

How hard is it to get a job at SAS?

Securing a part-time statistical programmer position at SAS typically requires relevant skills in SAS programming, data analysis, and familiarity with statistical methods. Candidates often need a strong educational background in a related field and may face competitive application processes, but prior experience and certifications can improve chances.

Can you work part-time as a programmer?

Yes, many programming roles, including statistical programming, can be offered on a part-time basis. Part-time programming jobs typically require fewer hours per week and may involve remote work, flexible schedules, and specific skill sets such as proficiency in SAS, R, or Python. Availability depends on the employer and the specific job requirements.

What are some common challenges faced by part-time statistical programmers, and how can they be managed?

Part-time statistical programmers often encounter challenges related to balancing workload and managing project deadlines, as they may have limited hours compared to full-time team members. Effective communication with supervisors and colleagues is crucial to ensure expectations are clear and tasks are prioritized appropriately. Additionally, staying updated with evolving statistical software and regulatory requirements can be demanding, so leveraging online training resources and regular team check-ins can help maintain productivity and professional growth.

Is SAS programming in demand?

SAS programming is in high demand in industries such as healthcare, pharmaceuticals, and finance, where data analysis and regulatory reporting are critical. Skilled SAS programmers with knowledge of data management and statistical analysis tools are often sought after, especially for roles involving clinical trials and regulatory compliance.

What are the key skills and qualifications needed to thrive as a Statistical Programmer Part Time, and why are they important?

To thrive as a Statistical Programmer Part Time, you need a solid foundation in statistics, programming (often SAS, R, or Python), and a relevant degree such as statistics, mathematics, or computer science. Familiarity with statistical software, data management tools, and regulatory compliance standards like CDISC is typically required. Strong analytical thinking, attention to detail, and effective communication skills help distinguish candidates in this role. These skills ensure accurate data analysis, regulatory adherence, and clear reporting, which are crucial for supporting research and business decisions.
More about Statistical Programmer Part Time jobs
What cities are hiring for Statistical Programmer Part Time jobs? Cities with the most Statistical Programmer Part Time job openings:
What are the most commonly searched types of Statistical Programmer jobs? The most popular types of Statistical Programmer jobs are:
What states have the most Statistical Programmer Part Time jobs? States with the most job openings for Statistical Programmer Part Time jobs include:
What job categories do people searching Statistical Programmer Part Time jobs look for? The top searched job categories for Statistical Programmer Part Time jobs are:
Statistical Programmer Part Time jobs near you
Infographic showing various Statistical Programmer Part Time job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $147,292 per year, or $70.8 per hour.
Risk Engineering, Vice President, Market Risk Strats, New York

Risk Engineering, Vice President, Market Risk Strats, New York

Goldman Sachs, Inc.

New York, NY • On-site

Full-time, Part-time

Posted 16 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Description
In Risk Strats, we are a team of quantitative experts responsible for driving timely and efficient risk management across the firm's market, credit, liquidity, and capital exposures. We design and deliver quantitative models, metrics, tools, and analyses essential to the firm's financial control and reporting functions.
The team is responsible for designing, implementing and maintaining quantitative measures of risk such as Value at Risk, Exposure Modelling, Stress Testing, as well as metrics used to determine the firm's capital requirements, along with tools and systems that streamline and bring efficiency to the review and explanation of these metrics by leveraging Large Language Models (LLMs).
Whether assessing the creditworthiness of the firm's counterparties, monitoring market, credit, and liquidity risks associated with trading activities, or offering analytical and regulatory compliance support, our work contributes directly to the firm's success. The division is ideal for collaborative individuals who have strong ethics and attention to detail.
FUNCTIONALITY DESCRIPTION
  • Developing risk models, generating risk metrics and sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, stochastic calculus, machine learning
  • Performing detailed analysis on risk trends and drivers and communicating insights to internal and external stakeholders, harnessing the latest advancements in Large Language Models (LLMs) to deliver timely, efficient, and high-quality analysis, review, and explanation.
  • Strong commercial mindset, with a proven ability to deliver pragmatic, working solutions quickly and iterate based on stakeholder feedback and changing priorities.
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems using strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python, Scala)
  • Experience in designing highly scalable, efficient and robust systems
  • Effectively communicating results and outputs from the model and insights from analysis
QUALIFICATIONS
  • Post graduate degree /bachelor's degree in mathematics, Physics, Electrical Engineering or related technical discipline
  • Passion for financial markets with strong familiarity across asset classes (equities, rates, credit, derivatives) and how they drive risk and capital.
  • Quantitative engineering mindset - blends financial intuition with rigorous methods to build robust, production-ready analytics.
  • Hands-on experience building LLM agents over financial data (RAG, tool-use, agentic workflows) to automate analysis and explanation.
  • Commercial mindset - applies software and LLMs to solve real financial problems, optimizing for impact over technology.
  • Strong analytical and problem-solving skills using math, statistics, and programming
  • Demonstrated ability to learn new technologies and apply
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)

Salary Range
The expected base salary for this New York, New York, United States-based position is $130000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

What Goldman Sachs employees say

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Benefits

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Workplace

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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