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Statistics Programmer information

What is a statistics programmer?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do statistics programmers collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

What are the key skills and qualifications needed to thrive as a statistics programmer?

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What are popular job titles related to Statistics Programmer jobs in New York?

For Statistics Programmer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Statistics Programmer jobs in New York look for?

The top searched job categories for Statistics Programmer jobs in New York are:

What cities in New York are hiring for Statistics Programmer jobs?

Cities in New York with the most Statistics Programmer job openings:

Statistics Programmer jobs near you
Infographic showing various Statistics Programmer job openings in New York as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Assoc Director, Statistical Programming

Novartis

East Hanover, NJ • Hybrid

$145K - $270K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago

Novartis rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical

Job description

Job Description Summary

Associate Director Statistical Programmer
#LI-Hybrid
Location: East Hanover, USA
This role is based in East Hanover, USA. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you.
Step into a high-impact leadership role where your expertise will shape the future of drug development. As Associate Director Statistical Programming, you will lead a high-performing community of programmers, driving innovation, quality, and efficiency across complex clinical programs. You'll play a critical role in delivering timely, high-quality insights that enable life-changing treatments to reach patients faster-while empowering teams, advancing technology adoption, and influencing global strategy across Novartis.


Job Description

Key responsibilities:

  • Lead statistical programming activities as a Lead/Program Programmer for a large-sized or complex project or group of projects globally or locally, or disease area with phase I to IV clinical studies in Novartis Global Drug Development.

  • Co-ordinate activities of programmers either internally or externally. Make statistical programming decisions and propose strategies at project or disease level. Develop statistical programming strategy and scientific documentation for the project(s) or disease area together with the Biostatistician(s). Accountable for the assignment of resources and workload within his/her TA community and ensures sharing of resources between groups in order to meet company objectives and priorities.

  • May act as functional manager of local/global associates including providing supervision and advice to these programmers on functional expertise and processes.

  • Build and maintain effective working relationships with cross-functional teams including Biostatistics and Data Management counterparts, able to summarize and discuss status of deliverables and critical programming aspects, such as,timelines, scope, and resource planning. SP representative at project level and in the Submission team, or in local leadership team.

  • Develop programming strategy to drive standardization across studies or programs and effectively adopt R packages (e.g. Tidyverse), R Shiny Applications, AI-enabled tools etc. to support data visualization, version control (e.g. Git-based), and reproducible workflows. Partner with the functional mentors to support capability development, appropriate tool adoption, and alignment with standards and business needs.

  • Accountable for timely and quality development and validation of all statistical programming components on assigned project(s). Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results.

  • Provide authoritative technical and professional recommendations as representative of the statistical programming function at project level or for a major non-clinical initiative.

Essential Requirements:

  • University or college degree in life science, computer science, data science, pharmacy, statistics, nursing or equivalent relevant degree.

  • Proven leadership, collaboration and organizational skills with demonstrated ability to successfully manage simultaneous trials and meet deadlines

  • Excellent understanding of clinical trials methodology, GCP and medical terminology

  • Must be able to anticipate challenges and risks and proactively suggest/implement solutions

  • Ability to work under pressure demonstrating agility through effective and innovative team leadership

  • Excellent interpersonal skills and proven ability to operate effectively in a global environment. Foster a team environment that values learning, adaptability, and continuous improvement. Ability to influence and communicate across functions and to external stakeholders

  • Experience in Drug Development with experience in Statistical Programming

  • Management or leadershipexperience

Novartis Compensation Summary:

The salary for this position is expected to range between $145,600 and $270,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a

variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

To learn more about the culture, rewards and benefits we offer our people click here.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$145,600.00 - $270,400.00


Skills Desired

Clinical Trials, Computer Data Storage, Computer Programming, Data Analysis, Data Structures, People Management, Programming Languages, Statistical Analysis, Waterfall Model

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