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Remote Statistical Programmer Jobs in Dallas, TX

... Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data ... Assistance@gartner.com #LI-Remote #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the ...

... Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data ... Assistance@gartner.com #LI-Remote #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Build, test, and validate statistical, and machine learning models and analyses using Python, R, or ... Advanced proficiency in programming languages such as Python, R, SQL, and Java. * Demonstrated ...

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Hybrid, mostly remote The Healthcare Data Analyst will be a key member of the Analytics Center of ... Perform advanced analytics such as statistical analysis and predictive model development to support ...

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data ... Mentor and guide a team of data scientists and engineers to achieve project goals. Strategic ...

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data ... Mentor and guide a team of data scientists and engineers to achieve project goals. Strategic ...

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data ... Mentor and guide a team of data scientists and engineers to achieve project goals. Strategic ...

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Showing results 1-20

Remote Statistical Programmer information

See Dallas, TX salary details

$83.9K

$146.3K

$247.4K

How much do remote statistical programmer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote statistical programmer in Dallas, TX is $146,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $159,000.00 per year, depending on experience, location, and employer.

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.

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 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 are the most commonly searched types of Statistical Programmer jobs in Dallas, TX? The most popular types of Statistical Programmer jobs in Dallas, TX are:
What are popular job titles related to Remote Statistical Programmer jobs in Dallas, TX? For Remote Statistical Programmer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Programmer jobs in Dallas, TX look for? The top searched job categories for Remote Statistical Programmer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Statistical Programmer jobs? Cities near Dallas, TX with the most Remote Statistical Programmer job openings:
Infographic showing various Remote Statistical Programmer job openings in Dallas, TX as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $146,326 per year, or $70.3 per hour.
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • Remote

Full-time

Posted 15 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.