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Manager Remote Statistical Programmer Jobs in Harrison, MI

Quora

AI Automation Engineer -Remote

Mount Pleasant, MI · On-site +1

$202.38K - $234.20K/yr

Excellent debugging skills and the ability to manage multiple projects simultaneously * High level ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Maximus

Technical Project Manager

Mount Pleasant, MI · Remote

This is a fully remote position. Why Join Maximus? - Competitive Compensation - Bonus opportunities ... Identify and assess new functional capabilities supporting engineering change proposals and ...

Maximus

AI/ML Software Developer

Mount Pleasant, MI · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... lifecycle management - Implements model monitoring, performance validation, traceability, and ...

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Manager Remote Statistical Programmer information

See Harrison, MI salary details

$73.5K

$128.1K

$216.5K

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

As of May 31, 2026, the average yearly pay for manager remote statistical programmer in Harrison, MI is $128,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $139,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Remote Statistical Programmer, and why are they important?

To thrive as a Manager Remote Statistical Programmer, you need expertise in statistical programming (typically SAS or R), clinical trial data analysis, and a degree in statistics, mathematics, or a related field. Familiarity with CDISC standards, regulatory submission requirements, and experience using clinical data management systems are essential, along with relevant certifications like SAS Certified Advanced Programmer. Strong leadership, effective communication, and problem-solving skills are crucial for managing remote teams and collaborating across departments. These skills ensure robust data analysis, regulatory compliance, and efficient project delivery in a remote and highly regulated environment.

What are common challenges faced by a Manager Remote Statistical Programmer, and how can they be addressed?

A Manager Remote Statistical Programmer often encounters challenges such as coordinating geographically dispersed teams, ensuring data security, and maintaining effective communication. Addressing these requires leveraging robust project management tools, implementing clear protocols for data handling, and fostering regular virtual team meetings to discuss progress and resolve issues. Building a strong remote culture and providing ongoing training also help in keeping the team engaged and aligned with project goals.

What is a Manager Remote Statistical Programmer?

A Manager Remote Statistical Programmer is a professional who oversees a team of statistical programmers, often within the pharmaceutical, biotechnology, or clinical research industries, while working remotely. Their responsibilities include managing programming projects, ensuring data analysis and reporting adhere to regulatory standards, and supporting the development of statistical analysis plans. They also mentor team members, coordinate timelines, and communicate with cross-functional teams to ensure successful project delivery. Remote managers use technology to collaborate effectively with their teams and clients from different locations.

What is the difference between Manager Remote Statistical Programmer vs Senior Statistical Programmer?

AspectManager Remote Statistical ProgrammerSenior Statistical Programmer
ResponsibilitiesOversees project teams, manages timelines, and ensures regulatory compliancePerforms complex statistical programming tasks, mentors junior staff
Required SkillsLeadership, project management, advanced programmingAdvanced programming, statistical analysis, problem-solving
Work EnvironmentTeam management, client interaction, cross-functional collaborationIndividual contributor, project-focused
CertificationsLikely to have SAS or CDISC certifications, leadership trainingSAS certifications, statistical programming expertise

The main difference is that the Manager Remote Statistical Programmer focuses on team leadership and project oversight, while the Senior Statistical Programmer primarily handles complex programming tasks and technical expertise. Both roles require strong SAS skills and industry experience, but the managerial position involves additional responsibilities in team management and strategic planning.

Manager Remote Statistical Programmer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Mount Pleasant, MI • Remote

Other

Posted 8 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply