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Manager Remote Statistical Programmer Jobs in Ohio

BairesDev

Account Manager - Remote Work

Cleveland, OH · Remote

We are seeking an Account Manager to build lasting, trusting relationships with clients by ... Nice to Have Previous experience as a Software Engineer (Computer Science, Software Engineering or ...

Alimentiv

Consulting Statistician

Columbus, OH · On-site +1

$110.50K - $184K/yr

... remote based, Canada or USA) Statistical Consulting Services * Communicates with clients and ... Prepares statistical analysis plans and oversee project data collection, management, and analysis ...

A.C. Coy

Oracle Developer (Remote)

Columbus, OH · Remote

$54.50 - $67.75/hr

... Developer for our direct US Government client. * This will be a 100% remote contract-to-hire ... management procedures, statistical analysis and modeling. * Work with users to define existing or ...

A.C. Coy

Oracle Developer (Remote)

Columbus, OH · On-site +1

$54.50 - $67.75/hr

... Developer for our direct US Government client. * This will be a 100% remote contract-to-hire ... management procedures, statistical analysis and modeling. * Work with users to define existing or ...

A.C. Coy

Oracle Developer (Remote)

Columbus, OH · Remote

$54.50 - $67.75/hr

... Developer for our direct US Government client. * This will be a 100% remote contract-to-hire ... management procedures, statistical analysis and modeling. * Work with users to define existing or ...

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Manager Remote Statistical Programmer information

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.

What are the most commonly searched types of Remote Statistical Programmer jobs in Ohio? The most popular types of Remote Statistical Programmer jobs in Ohio are:
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Manager Remote Statistical Programmer jobs near you
Statistical Analyst - AI Trainer

Statistical Analyst - AI Trainer

DataAnnotation

Wyoming, OH • 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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