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Remote Director Statistical Programming Jobs in Arizona

DataAnnotation

Data Science Consultant

Phoenix, AZ · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.

Judge Group, Inc.

Data Engineer

Scottsdale, AZ · Remote

$60 - $70/hr

Scottsdale, AZ Remote: NO Length: 6 months (potential contract to hire) Contact: Brian Merin ... The role is a self-directed position that is comfortable supporting the data needs of multiple ...

Insight

The role will be a remote position located in the United States. Insight at a Glance * 14,000 ... This leader partners closely with product, data engineering, security, and business stakeholders to ...

Insight

$150K/yr

Remote Sr Wireless Engineer (Traveling Position) The Senior Wireless Engineer is responsible for ... Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or ...

Beacon Talent

Customer Solutions Director

Phoenix, AZ · On-site +1

$172.96K - $188.64K/yr

S. (Remote) or major hub (hybrid optional) Type: Full-time Seniority: Mid-Senior (player/coach ... Coordinate internal teams (Product, Data, Engineering, Operations) to hit timelines and quality ...

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Remote Director Statistical Programming information

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

To thrive as a Remote Director Statistical Programming, you need advanced expertise in statistical programming (typically SAS and R), a strong background in biostatistics or related fields, and significant experience in clinical trial data analysis, usually supported by a relevant degree. Mastery of programming tools, regulatory submission standards (such as CDISC SDTM/ADaM), and familiarity with data management systems are crucial, along with relevant certifications being advantageous. Leadership, strategic thinking, and exceptional communication skills help you effectively manage teams and collaborate across global, cross-functional groups. These skills ensure accurate, regulatory-compliant analyses that drive successful clinical development and organizational goals.

How does a Remote Director of Statistical Programming typically collaborate with cross-functional teams while managing geographically dispersed staff?

A Remote Director of Statistical Programming often leads a team of programmers who may be distributed across different locations and time zones. Collaboration with cross-functional teams—such as biostatisticians, data managers, and clinical operations—relies heavily on clear communication through virtual meetings, shared project management tools, and regular status updates. The director is responsible for aligning programming deliverables with project timelines, ensuring quality standards, and fostering a cohesive team environment despite the remote setup. Strong leadership and proactive engagement are essential to overcome challenges like time zone differences and maintain alignment with overall project goals.

What is a Remote Director of Statistical Programming?

A Remote Director of Statistical Programming is a senior-level professional who oversees statistical programming teams and projects, often within the pharmaceutical, biotechnology, or clinical research industries, while working remotely. They are responsible for ensuring the accuracy and efficiency of statistical data analysis and reporting, particularly for clinical trials and regulatory submissions. This role involves managing programmers, developing programming standards, ensuring compliance with regulatory requirements, and collaborating closely with statisticians, data managers, and project leaders. Working remotely, they utilize digital tools to lead distributed teams and maintain high-quality data deliverables. Their work is critical in transforming raw clinical data into meaningful insights for decision-making and regulatory approval.

What is the difference between Remote Director Statistical Programming vs Remote Statistical Programming Manager?

AspectRemote Director Statistical ProgrammingRemote Statistical Programming Manager
CredentialsTypically requires advanced degrees (e.g., MS, PhD) and extensive experienceRequires similar degrees and experience, but slightly less senior
Work EnvironmentLeadership role overseeing multiple teams, strategic planningManages teams directly, focuses on project execution
Industry UsageCommon in large pharma and biotech companiesFound in similar settings, often as a mid-level leadership role
Search & Comparison IntentOften searched by senior professionals or recruitersMore frequently searched by mid-level managers or job seekers

The Remote Director Statistical Programming is a senior leadership role overseeing multiple teams and strategic initiatives, requiring extensive experience and advanced degrees. In contrast, the Remote Statistical Programming Manager focuses on managing project teams and day-to-day operations. Both roles are vital in pharmaceutical and biotech industries, but they differ mainly in seniority and scope of responsibilities.

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What job categories do people searching Remote Director Statistical Programming jobs in Arizona look for? The top searched job categories for Remote Director Statistical Programming jobs in Arizona are:
What cities in Arizona are hiring for Remote Director Statistical Programming jobs? Cities in Arizona with the most Remote Director Statistical Programming job openings:
Remote Director Statistical Programming jobs near you
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Phoenix, AZ • 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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