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Junior Statistical Programmer Jobs in Draper, UT

WSP

Senior Electrical Engineer - Buildings

South Jordan, UT · On-site

$102K - $132K/yr

Ability to work independently and provide guidance and leadership to junior team or project members ... statistical analysis and arriving at the most effective, economical, and logical solution.

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

... junior Data Scientists. Lead projects as needed or required - (10%) Minimum Qualifications * Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics ...

Pwc

US Tech - AI Engineering Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

Pwc

CTIO AI Engineering Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Cricut

Senior Mechanical Design Engineer

South Jordan, UT · On-site

$85K - $118K/yr

You will lead and mentor other engineers in the company and individuals both senior and junior to ... Apply statistical methods such as process capability studies and DOE's in the development and ...

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Junior Statistical Programmer information

See Draper, UT salary details

$7

$25

$44

How much do junior statistical programmer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for junior statistical programmer in Draper, UT is $25.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $31.01 per hour, depending on experience, location, and employer.

What does a junior statistical programmer do?

A Junior Statistical Programmer assists in the analysis and management of clinical trial data using statistical software such as SAS or R. They work under the guidance of senior programmers and statisticians to create, validate, and maintain datasets, generate tables, listings, and figures, and ensure data accuracy and integrity. Their role is crucial in supporting research and regulatory submissions in industries like pharmaceuticals and healthcare.

What types of projects and tasks can a junior statistical programmer expect to work on in their first year?

As a Junior Statistical Programmer, you will typically work on tasks such as cleaning and organizing datasets, writing basic statistical programming code (often in SAS or R), and assisting in the preparation of tables, listings, and figures for clinical trial reports. You may also support more senior programmers by validating code, performing quality checks, and helping to document programming processes. These responsibilities provide excellent hands-on experience with real-world data and allow you to gradually take on more complex projects as you build your skills and confidence.

What are the key skills and qualifications needed to thrive as a junior statistical programmer, and why are they important?

To thrive as a Junior Statistical Programmer, you need a solid foundation in statistics, data analysis, and programming skills—often supported by a degree in mathematics, statistics, or a related field. Familiarity with statistical software such as SAS or R and knowledge of data management systems are typically required, with certifications in these tools being advantageous. Attention to detail, problem-solving, and effective communication help you stand out in this role. These skills and qualities are crucial for ensuring accurate data analysis, clear reporting, and successful collaboration within research or clinical trial teams.

What is the difference between Junior Statistical Programmer vs Statistical Programmer?

AspectJunior Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some experience or internshipBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supervised tasks, learning on the jobMore independent, handling complex analyses and projects
Employer & Industry UsagePharmaceuticals, biotech, clinical research organizationsSame industries, with increased responsibilities

The main difference between a Junior Statistical Programmer and a Statistical Programmer lies in experience and responsibility. Junior roles focus on learning and supporting tasks, while Statistical Programmers handle more complex analyses independently. Both roles are common in clinical research and biotech industries, with progression often leading from junior to senior positions.

How much do junior statistical programmers make in the US?

Junior statistical programmers in the US typically earn between $60,000 and $80,000 annually, depending on experience, location, and the complexity of projects. Entry-level roles often require knowledge of programming languages like SAS, R, or Python, and familiarity with clinical trial data is common in the pharmaceutical industry.
Junior Statistical Programmer jobs near you
Infographic showing various Junior Statistical Programmer job openings in Draper, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $52,415 per year, or $25.2 per hour.

Asset & Wealth Management-Salt Lake City-Vice President, Quantitative Engineering-10412228

Goldman Sachs, Inc.

Salt Lake City, UT

$174K - $224K/yr

Full-time

Posted 10 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 171 rated banks

Job description

Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Lead the development, implementation, and documentation of scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process. Mentor junior and mid-level team members.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and three (3) years of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and five (5) years of experience in job offered or a related quantitative engineering role OR PhD degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role. Prior experience must include three (3) years of experience (with a Master's degree) OR five (5) years of experience (with a Bachelor's degree) OR one (1) year of experience (with a PhD degree) with 5 of the 8 following skills: C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance concepts; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying algorithms or data structures to write complex programs; and developing pricing models for financial products to model risk, economics, and cash flows under normal and distressed market environments.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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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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