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Internship Remote Statistical Programmer Jobs in Albany, NY

micro1 AI

Director of Biostatistics

Albany, NY · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Albany, NY · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical ...

All JobsStatistical Programmer JobsInternship Remote Statistical Programmer JobsInternship Remote Statistical Programmer Jobs in Albany, NY

Internship Remote Statistical Programmer information

See Albany, NY salary details

$83.9K

$146.2K

$247.2K

How much do internship remote statistical programmer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for internship remote statistical programmer in Albany, NY is $146,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $158,900.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What types of projects and responsibilities can I expect as a remote statistical programmer intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What are the key skills and qualifications needed to thrive as an internship remote statistical programmer?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.

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

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What are popular job titles related to Internship Remote Statistical Programmer jobs in Albany, NY?

For Internship Remote Statistical Programmer jobs in Albany, NY, the most frequently searched job titles are:

What job categories do people searching Internship Remote Statistical Programmer jobs in Albany, NY look for?

The top searched job categories for Internship Remote Statistical Programmer jobs in Albany, NY are:

What cities near Albany, NY are hiring for Internship Remote Statistical Programmer jobs?

Cities near Albany, NY with the most Internship Remote Statistical Programmer job openings:

Internship Remote Statistical Programmer jobs near you
Infographic showing various Internship Remote Statistical Programmer job openings in Albany, NY as of June 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 36% Full Time, 56% Part Time, 3% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $146,241 per year, or $70.3 per hour.

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

Experienced Recruiting Partners

Albany, NY • On-site, Remote

Full-time

Re-posted 10 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.