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Remote Statistical Programmer Jobs in Tennessee (NOW HIRING)

DataAnnotation

Data Science Consultant

Nashville, TN · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

DataAnnotation

Decision Scientist

Nashville, TN · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

DataAnnotation

Physicist - AI Trainer

Nashville, TN · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

InstantServe LLC

Epidemiologist

Nashville, TN · On-site +1

Remote Duration: 12 Months Contract (with possible extension) Remote Position Description: The ... Experience writing statistical and analytical programming code in SAS,SQL, or R. Excellent written ...

Dovel Technologies

Managing Consultant, AI & Data

Bogota, TN · On-site +1

$141K - $235K/yr

US - Remote (Any location)time type: Full timeposted on: Posted Todayjob requisition id: 38007 Job ... Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering ...

Wood Plc

Senior Risk Assessor

Nashville, TN · On-site +1

For candidates not in those locations, we would consider fully remote work for a highly qualified ... Knowledge of toxicology, statistics, human health risk assessment and regulatory compliance

Wood Plc

Senior Risk Assessor

Knoxville, TN · On-site +1

For candidates not in those locations, we would consider fully remote work for a highly qualified ... Knowledge of toxicology, statistics, human health risk assessment and regulatory compliance

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Remote Statistical Programmer information

See Tennessee salary details

$76.7K

$133.7K

$226K

How much do remote statistical programmer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote statistical programmer in Tennessee is $133,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $145,200.00 per year, depending on experience, location, and employer.

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 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 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 Tennessee? The most popular types of Statistical Programmer jobs in Tennessee are:
What are popular job titles related to Remote Statistical Programmer jobs in Tennessee? For Remote Statistical Programmer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Tennessee look for? The top searched job categories for Remote Statistical Programmer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Statistical Programmer jobs? Cities in Tennessee with the most Remote Statistical Programmer job openings:
Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Tennessee as of May 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,684 per year, or $64.3 per hour.
Behavioral Scientist - AI Trainer

Behavioral Scientist - AI Trainer

DataAnnotation

Nashville, TN • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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