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Contractor Statistical Programmer - Job Opportunity at Ivy Analytics LLC

Remote, US
Contract
Mid-level
Posted: June 29, 2025
Remote
USD 40 - 80 per hour

Benefits

Comprehensive health coverage including medical, dental, and vision insurance providing significant value for contractor positions where benefits are often limited
Life insurance protection offering financial security typically unavailable in most contract roles
Paid time off allocation allowing for work-life balance uncommon in contractor arrangements
Professional development assistance supporting career advancement and skill enhancement
Retirement plan access providing long-term financial planning benefits rarely offered to contractors

Key Responsibilities

Lead statistical programming and analysis initiatives for clinical studies across multiple compounds, directly impacting drug development timelines and regulatory submissions
Generate critical statistical analysis datasets and Tables, Listings, and Figures (TLFs) that form the foundation for regulatory decision-making and compound approval processes
Develop and validate statistical programs following CDISC standards and corporate SOPs, ensuring compliance with FDA and international regulatory requirements
Transform complex clinical trial data across multiple platforms and programming languages, enabling data-driven insights for pharmaceutical development
Pioneer innovative programming methodologies including interactive visualizations and dashboards that enhance data interpretation and accelerate decision-making processes
Ensure submission-ready datasets (SDTM and ADaM) meet stringent regulatory standards, directly contributing to successful drug approvals and market access
Collaborate effectively within global, multicultural teams while managing virtual communications and cross-timezone project coordination

Requirements

Education

BS/MS in Statistics, Data Science, Computer Science or relevant background

Experience

Good experience working within a Global Team for statistical programming support for the life cycle of a development compound across clinical phases

Required Skills

Statistical programming Clinical data analysis CDISC standards (SDTM and ADaM) Multiple programming languages Data manipulation and analysis Interactive visualization development Dashboard creation Regulatory submission preparation Virtual communication Cross-cultural collaboration
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Sauge AI Market Intelligence

Industry Trends

The pharmaceutical and biotechnology industry is experiencing unprecedented growth in clinical trials, with over 400,000 studies currently registered globally, driving massive demand for statistical programming expertise. The shift toward personalized medicine and complex adaptive trial designs requires sophisticated statistical modeling and programming capabilities. Regulatory agencies worldwide are increasingly emphasizing data transparency and standardization, making CDISC compliance expertise critically valuable. The FDA's commitment to data modernization and the European Medicines Agency's focus on regulatory science innovation create sustained demand for skilled statistical programmers. The COVID-19 pandemic accelerated the adoption of decentralized clinical trials and remote data collection methods, fundamentally changing how clinical data is processed and analyzed. This transformation has created new opportunities for statistical programmers who can work with diverse data sources and virtual trial platforms.

Salary Evaluation

The hourly rate of $40-80 represents a competitive range for mid-level statistical programmers in the pharmaceutical industry. This translates to approximately $83,200-$166,400 annually for full-time equivalent work, which aligns well with market rates for contractors who typically command 20-30% premiums over permanent employees to offset benefits and job security trade-offs.

Role Significance

Statistical programmers typically work within teams of 3-8 professionals, collaborating closely with biostatisticians, data managers, and clinical operations teams. In global pharmaceutical companies, these teams often span multiple geographic regions and time zones, requiring strong virtual collaboration skills.
This role represents a mid-level position with significant independent responsibility and technical expertise requirements. The emphasis on working across multiple compounds and clinical phases, combined with the expectation to develop innovative methodologies, indicates a role that bridges individual contributor work with strategic program impact.

Key Projects

End-to-end statistical programming for Phase II and Phase III clinical trials involving patient populations ranging from hundreds to thousands of participants Development of integrated safety databases combining data from multiple studies to support regulatory submissions and safety monitoring Creation of adaptive trial monitoring systems that enable real-time decision-making during ongoing clinical studies Implementation of regulatory submission packages including comprehensive datasets, analysis outputs, and documentation required for FDA and EMA approvals

Success Factors

Mastery of CDISC standards (SDTM and ADaM) is absolutely critical, as regulatory compliance failures can delay drug approvals by months or years, potentially costing pharmaceutical companies hundreds of millions in lost revenue. The ability to implement these standards flawlessly while maintaining data integrity across complex clinical datasets distinguishes top performers in this field. Advanced programming skills across multiple languages (typically SAS, R, and Python) combined with the ability to adapt quickly to new technologies and platforms. The pharmaceutical industry's technology landscape evolves rapidly, and successful statistical programmers must demonstrate continuous learning and technical versatility. Strong communication and virtual collaboration capabilities are essential for success in global pharmaceutical development teams. The ability to explain complex statistical concepts to diverse stakeholders, manage cross-timezone project coordination, and build effective working relationships in virtual environments directly impacts project success and career advancement opportunities.

Market Demand

Extremely high demand driven by the pharmaceutical industry's robust pipeline of over 20,000 drugs in development globally, coupled with increasing regulatory complexity and the critical shortage of qualified statistical programming professionals in the market.

Important Skills

Critical Skills

CDISC standards expertise (SDTM and ADaM) represents the fundamental requirement for pharmaceutical statistical programming, as these standards govern how clinical trial data must be structured for regulatory submissions. Without this knowledge, a statistical programmer cannot effectively contribute to drug development programs or ensure regulatory compliance. Advanced programming capabilities across multiple languages and platforms enable statistical programmers to work with diverse data sources and analysis requirements. The pharmaceutical industry's increasing adoption of new technologies and data sources requires programmers who can adapt quickly and implement solutions across various technical environments. Virtual communication and global collaboration skills have become critically important as the pharmaceutical industry has embraced remote work and international development teams. The ability to work effectively across time zones, cultures, and virtual platforms directly impacts project success and career advancement opportunities.

Beneficial Skills

Experience with innovative visualization and dashboard development tools positions statistical programmers for the industry's growing emphasis on real-time data monitoring and interactive analytics, potentially leading to specialized roles in digital health and data science Knowledge of adaptive trial designs and real-world evidence methodologies aligns with regulatory agencies' increasing acceptance of innovative trial approaches, creating opportunities for programmers who can implement these advanced statistical methods Understanding of machine learning and artificial intelligence applications in clinical development provides competitive advantages as the pharmaceutical industry increasingly integrates these technologies into drug development processes

Unique Aspects

The combination of comprehensive benefits typically reserved for full-time employees with the flexibility of contractor status creates an unusually attractive employment proposition in the statistical programming market
The explicit emphasis on developing innovative programming methodologies and visualization tools indicates a forward-thinking approach that could provide valuable experience with cutting-edge pharmaceutical analytics techniques
The focus on multi-compound and cross-phase experience offers accelerated learning opportunities that might take years to accumulate in traditional single-company pharmaceutical roles
The fully remote work arrangement with global team collaboration provides flexibility while maintaining exposure to international pharmaceutical development practices and regulatory requirements

Career Growth

Career progression in pharmaceutical statistical programming typically follows a 2-3 year cycle for each advancement level, with exceptional performers potentially accelerating this timeline through demonstrated technical excellence and successful regulatory submission contributions.

Potential Next Roles

Senior Statistical Programmer positions with expanded leadership responsibilities and oversight of multiple clinical programs, typically achieved within 2-3 years of demonstrated excellence Lead Statistical Programmer roles managing teams of programmers and serving as technical experts for major pharmaceutical compounds, representing significant increases in compensation and strategic influence Biostatistician positions for those interested in transitioning from programming implementation to statistical methodology and trial design, offering opportunities to shape clinical development strategies Statistical Programming Management roles overseeing entire programming departments and establishing organizational standards and processes

Company Overview

Ivy Analytics LLC

Ivy Analytics LLC appears to be a specialized analytics consulting firm serving the pharmaceutical and biotechnology industries. As a consulting organization, the company likely provides statistical programming and data analysis services to multiple pharmaceutical clients, offering exposure to diverse therapeutic areas and development programs that may not be available in single-company employment.

The company operates in the rapidly growing pharmaceutical consulting market, which has expanded significantly as biotechnology companies and smaller pharmaceutical firms increasingly outsource specialized statistical programming functions. This market position typically offers competitive compensation and diverse project exposure.
Operating with a fully remote model, the company demonstrates adaptation to modern pharmaceutical industry practices where virtual collaboration has become standard. This approach allows access to top talent regardless of geographic location while serving clients across multiple regions and time zones.
The emphasis on virtual communication skills and global team collaboration suggests a modern, technology-forward work environment. The contractor model typically offers greater flexibility and project variety compared to traditional pharmaceutical employment, appealing to professionals who value autonomy and diverse technical challenges.
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