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Statistical Programmer Contract Jobs (NOW HIRING)

Medpace, Inc.

Statistical Analyst I

Cincinnati, OH · On-site

SAS and / or statistical programming experience; * Knowledge of databases and data management ... Minimal Medpace Overview Medpace is a full-service clinical contract research organization (CRO ...

Medpace, Inc.

Statistical Analyst I

Cincinnati, OH · On-site +1

SAS and / or statistical programming experience; * Knowledge of databases and data management ... Minimal Medpace Overview Medpace is a full-service clinical contract research organization (CRO ...

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Statistical Programmer Contract information

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$84.5K

$147.3K

$249K

How much do statistical programmer contract jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical programmer contract 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 statistical programmer contract?

A Statistical Programmer Contract refers to a temporary or project-based role where a professional specializes in programming and data analysis, often within clinical research or pharmaceutical industries. These programmers use statistical software like SAS, R, or Python to manage, analyze, and report clinical trial data. Contract positions typically focus on ensuring data integrity, generating tables, listings, and figures, and supporting regulatory submissions. The contract nature means the engagement is for a defined period or project, offering flexibility for both the programmer and the employer.

What are the key skills and qualifications needed to thrive as a statistical programmer contract?

To thrive as a Statistical Programmer Contract, you need a solid background in statistics, programming (especially SAS or R), and a relevant degree in mathematics, statistics, or computer science. Familiarity with statistical software (such as SAS, R, or Python), CDISC standards, and experience with clinical trial datasets are typically required, and certification in SAS programming can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for ensuring the accuracy, integrity, and regulatory compliance of statistical analyses in research or clinical environments.

What are some common challenges faced by statistical programmers working on a contract basis, and how can they be addressed?

Statistical Programmers working on a contract often face challenges such as quickly adapting to new team environments, learning proprietary systems, and managing tight project deadlines. Since contractors may work with multiple clients or projects, strong organizational and communication skills are essential to align with varying expectations and workflows. Building rapport with permanent team members and proactively seeking clarification on project requirements can help smooth the transition and ensure project success.
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Statistical Programmer Contract jobs near you
Infographic showing various Statistical Programmer Contract job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Advanced Cloud Based Programmer (GCP focus)- Hybrid - Long Term Contract

Experienced Recruiting Partners

Albany, NY • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

Contract Role

Length: Currently 12 months (potential for ongoing renewals)

Location: Hybrid - Remote + 50% Onsite in Albany, NY

Client is seeking two experienced Advanced Cloud & Generative AI Developers to join a team supporting and enhancing conversational AI solutions.

  • These positions are expected to be one-year engagements with the potential for ongoing renewals.
  • Team members will work across multiple initiatives, supporting existing chatbot and virtual agent applications while also developing new AI-driven solutions.

The ideal candidate will have strong expertise in Google Cloud Platform (GCP), conversational AI development, generative AI technologies, and full-stack application development using Python and JavaScript.

Responsibilities:

  • Design, develop, enhance, and maintain chatbot and virtual agent solutions built on Google Cloud Platform.
  • Build and support conversational AI applications using Google Dialogflow and related technologies.
  • Develop and implement Generative AI agents and solutions leveraging modern AI frameworks and services.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies.
  • Develop and maintain backend services and APIs using Python and JavaScript.
  • Support existing applications, troubleshoot issues, and implement enhancements.
  • Collaborate with business stakeholders and technical teams to gather requirements and deliver solutions.
  • Maintain high-quality, readable, and well-documented code.
  • Participate in code reviews, testing, deployment, and continuous improvement activities.
  • Contribute to infrastructure automation and CI/CD processes using Terraform and Git-based repositories.

Requirements:

  • Bachelor's degree.
  • 5+ years related experience.
  • 2+ years of hands-on experience with Google Cloud Platform (GCP).
  • 2+ years of experience developing chatbots or conversational AI solutions using Google Dialogflow or similar technologies.
  • Experience building Generative AI applications and AI agents.
  • Strong understanding of Retrieval-Augmented Generation (RAG) concepts and implementations.
  • Experience with prompt engineering and prompt optimization techniques.
  • Proficiency in Python application development.
  • Proficiency in JavaScript development for both frontend and backend applications.
  • Experience using source control systems such as Git, GitHub, or GitLab.
  • Experience developing and maintaining infrastructure-as-code solutions using Terraform.
  • Ability to write and maintain clean, scalable, and maintainable code.
  • Strong verbal and written communication skills.
  • Experience working directly with business stakeholders and customers.

    Preferred Qualifications:

  • Google Cloud certifications.
  • Experience with Dialogflow CX, Conversational Agents, and Playbooks.
  • Experience working with various Generative AI platforms and services.
  • Machine Learning or AI model development experience.
  • Experience with Looker reporting and LookML.
  • Experience designing and deploying cloud-native applications.
  • Familiarity with Agile development methodologies and DevOps practices.

    Technical Skills:

  • Cloud Platforms: Google Cloud Platform (GCP)
  • Conversational AI: Dialogflow, Conversational Agents
  • Generative AI: AI Agents, RAG, Prompt Engineering
  • Programming Languages: Python, JavaScript
  • Infrastructure as Code: Terraform
  • Version Control: Git, GitHub, GitLab
  • Analytics & Reporting: Looker, LookML
  • Development Practices: CI/CD, Code Reviews, Testing, Documentation

    Soft Skills:

  • Excellent communication and collaboration skills.
  • Strong problem-solving and analytical abilities.
  • Ability to work independently and as part of a cross-functional team.
  • Customer-focused mindset with experience engaging directly with stakeholders.
  • Ability to adapt quickly to new technologies and evolving project requirements.