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Freelance Statistical Programmer Jobs (NOW HIRING)

Meridial

$65/hr

... statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced ... engineering and evaluation metrics. A master's or PhD in mathematics or a closely related ...

Paramount

Art Director, CBS Sports

Manhattan, NY · On-site

$132K - $139K/yr

... studio programming. Responsibilities: * Oversee day to day creative output of the graphics ... Work with outside agencies and freelancers to build out show packages * Ability to communicate ...

Paramount

Art Director, CBS Sports

Manhattan, NY

$132K - $139K/yr

... studio programming. Responsibilities: * Oversee day to day creative output of the graphics ... Work with outside agencies and freelancers to build out show packages * Ability to communicate ...

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Freelance Statistical Programmer information

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$84.5K

$147.3K

$249K

How much do freelance statistical programmer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for freelance statistical programmer 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 is a freelance statistical programmer?

Freelance Statistical Programmers are independent professionals who use statistical software and programming languages to analyze data, interpret results, and support research or business decisions. They typically work on a project-by-project basis for various clients, such as pharmaceutical companies, research institutions, or consulting firms. Their responsibilities often include data cleaning, statistical analysis, and preparing reports or visualizations. Freelancers in this field must be proficient in tools like SAS, R, or Python and have strong knowledge of statistics and data management. They enjoy flexibility in their work but must be self-motivated and skilled at managing multiple projects.

What skills and qualifications are needed to thrive as a freelance statistical programmer?

To thrive as a Freelance Statistical Programmer, you need strong statistical analysis skills, proficiency in programming languages like SAS, R, or Python, and a background in mathematics, statistics, or a related field. Familiarity with data management systems, statistical software, and knowledge of relevant industry standards or certifications (such as SAS Base Certification) are typically required. Excellent problem-solving, attention to detail, and effective communication skills distinguish top performers in this role. These competencies enable accurate data analysis, effective client collaboration, and delivery of high-quality, reliable results for diverse projects.

How do freelance statistical programmers manage communication and project expectations with multiple clients?

Freelance statistical programmers often work with several clients at once, each with unique project scopes and timelines. To manage this effectively, they establish clear communication channels—such as regular check-ins, progress updates, and documented deliverables—at the outset of each engagement. Utilizing project management tools and setting realistic deadlines helps prevent misunderstandings and ensures transparency. Being proactive about discussing workload and availability also helps freelancers maintain strong client relationships and meet expectations consistently.

What is the difference between Freelance Statistical Programmer vs Clinical Data Analyst?

AspectFreelance Statistical ProgrammerClinical Data Analyst
CredentialsBiostatistics or related degree, programming skills (SAS, R)Biostatistics, public health, or related degree, data analysis skills
Work EnvironmentIndependent, remote, project-basedTypically in healthcare or research settings, may be in-office or remote
Employer/IndustryPharmaceutical companies, CROs, biotech firms, freelance platformsHospitals, research institutions, pharmaceutical companies
Search/Comparison IntentYesNo

The Freelance Statistical Programmer primarily focuses on programming and data analysis tasks for clinical trials on a project basis, often working independently. In contrast, a Clinical Data Analyst interprets clinical data, generates reports, and supports decision-making within healthcare or research organizations. While both roles require similar educational backgrounds and technical skills, their work environments and typical employment structures differ significantly.

What cities are hiring for Freelance Statistical Programmer jobs?

Cities with the most Freelance Statistical Programmer 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 Freelance Statistical Programmer jobs?

States with the most job openings for Freelance Statistical Programmer jobs include:

What job categories do people searching Freelance Statistical Programmer jobs look for?

The top searched job categories for Freelance Statistical Programmer jobs are:

Freelance Statistical Programmer jobs near you
Infographic showing various Freelance Statistical Programmer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Conversation Rate Optimization Consultant

Right Side Up

Austin, TX • On-site

Full-time

Re-posted 6 days ago

Job description

About Right Side Up

Please note, this posting is to highlight joining Right Side Up's talent collective specifically and is not representing an internal full-time role, or a current opportunity with a client.

Right Side Up is a collective of premium marketing talent-with all of the marketing chops, and none of the agency fluff. We're trusted by the most respected early-stage ventures, the fastest-growing tech companies, and well-established Fortune 500 teams to do one thing better: Growth. We have over 250+ clients including Stitch Fix, Sephora, Yelp, Sun Basket, Crunchbase, DoorDash, Calm, and more.

About the Role

We're seeking freelance Conversion Rate Optimization (CRO) Consultants to join our talent collective and support a range of clients across industries. This role is ideal for marketers who are passionate about improving user experiences and driving measurable impact through testing, analysis, and experimentation.

Projects may include auditing conversion funnels, developing testing roadmaps, running A/B and multivariate tests, and optimizing user journeys across web and mobile. Contract engagements typically range from 10-40 hours per week.

Responsibilities

  • Analyze user behavior and conversion funnels to identify drop-off points and opportunities for improvement

  • Develop and execute A/B and multivariate testing programs

  • Create testing roadmaps aligned to business goals and hypotheses

  • Partner with design, product, and engineering teams to implement experiments

  • Optimize landing pages, product pages, and key conversion flows

  • Use tools such as Optimizely, VWO, Hotjar, and similar platforms to run tests and gather insights, and leverage tools like Webflow to implement and iterate on on-site experiences

  • Leverage qualitative and quantitative data (heatmaps, session recordings, surveys, analytics) to inform decisions

  • Report on test results and translate findings into actionable recommendations

Requirements

  • Strong foundation in CRO, experimentation, and user behavior analysis

  • Experience designing and executing A/B or multivariate tests

  • Familiarity with experimentation and analytics tools (e.g., Optimizely, VWO, Google Analytics, Hotjar)

  • Ability to form hypotheses and prioritize tests based on potential impact

  • Understanding of UX/UI principles and their impact on conversion

  • Strong analytical skills and attention to detail

  • Ability to communicate results and insights clearly to stakeholders

  • Comfort working across different industries, products, and customer journeys

Nice to Have

  • Experience with personalization and dynamic content strategies

  • Familiarity with statistical significance and experiment design

  • Experience in high-growth startup environments

  • Experience supporting both strategic planning and hands-on execution

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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