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Remote Statistical Programmer Jobs in Fremont, CA

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or reviewing ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Danaher

Senior Engineer, Process Validation

Sunnyvale, CA · On-site +1

$100K - $130K/yr

... apply statistical tools to evaluate process performance, including but not limited to process ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Senior Engineer, Process Validation

Sunnyvale, CA · On-site +1

$100K - $130K/yr

... apply statistical tools to evaluate process performance, including but not limited to process ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

... engineers to focus on higher-order problems. This is a fully remote position. The program runs ... Statistics, Engineering, or a related quantitative field * Working proficiency in Python (pandas ...

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

... engineers to focus on higher-order problems. This is a fully remote position. The program runs ... Statistics, Engineering, or a related quantitative field * Working proficiency in Python (pandas ...

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Showing results 21-40

All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Fremont, CA

Remote Statistical Programmer information

See Fremont, CA salary details

$92.5K

$161.2K

$272.6K

How much do remote statistical programmer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote statistical programmer in Fremont, CA is $161,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,800.00 and $175,100.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.

What does a remote statistical programmer do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

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

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do remote statistical programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

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

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

More about Remote Statistical Programmer jobs

What are the most commonly searched types of Statistical Programmer jobs in Fremont, CA?

The most popular types of Statistical Programmer jobs in Fremont, CA are:

What are popular job titles related to Remote Statistical Programmer jobs in Fremont, CA?

For Remote Statistical Programmer jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Remote Statistical Programmer jobs in Fremont, CA look for?

The top searched job categories for Remote Statistical Programmer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Remote Statistical Programmer jobs?

Cities near Fremont, CA with the most Remote Statistical Programmer job openings:

Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Fremont, CA as of August 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Part Time. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $161,235 per year, or $77.5 per hour.

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 6 days ago

Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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