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Assistant R Statistical Programmer Jobs in New York

Rutgers University

Post-Doc Ellison Lab

Piscataway, NJ · On-site

Preferred Qualifications Equipment Utilized Standard molecular biology equipment and procedures, fly husbandry, Perl and/or python programming languages, R statistical package and the Unix operating ...

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Assistant R Statistical Programmer information

What is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

Are Assistant R Statistical Programmers in demand?

Assistant R Statistical Programmers are in demand due to the growing need for data analysis and statistical programming in industries like healthcare, finance, and research. Proficiency in R, along with knowledge of clinical trial processes and statistical methods, enhances job prospects in this field.

What are the most commonly searched types of R Statistical Programmer jobs in New York?

The most popular types of R Statistical Programmer jobs in New York are:

What are popular job titles related to Assistant R Statistical Programmer jobs in New York?

For Assistant R Statistical Programmer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Assistant R Statistical Programmer jobs in New York look for?

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Cities in New York with the most Assistant R Statistical Programmer job openings:

Assistant R Statistical Programmer jobs near you
Infographic showing various Assistant R Statistical Programmer job openings in New York as of September 2026, with employment types broken down into 2% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Sr. Manager, Biostatistician / Programmer

Somerset, NJ • Hybrid

Legend Biotech US
Biotechnology Research and Development • 1 - 5K employees
Learn more about Legend Biotech USexternal

Full-time

Re-posted yesterday

Key responsibilities

  • Develop, validate, and maintain high-quality Tables, Figures, and Listings (TFLs) to support clinical trials and analyses.

  • Perform hands-on statistical programming and data manipulation to support planned and ad hoc analyses.

  • Explore and interrogate clinical trial data to identify trends, anomalies, and insights for clinical decision-making.

Legend Biotech rating

9.2

Company rating: 9.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Legend Biotech is seeking a Sr. Manager, Biostatistician/Programmer as part of the Clinical team based in Somerset, NJ.

Role Overview

The Sr. Manager, Biostatistician/Programmer plays a critical hands-on role in supporting Legend Biotech's clinical development programs by transforming clinical trial data into high-quality analyses, tables, figures, and listings that inform decision-making. This role partners closely with clinical, translational, research stakeholders to deliver timely insights, conduct exploratory and ad hoc analyses, and deeply understand the medical and scientific questions underlying the data. The position requires strong programming expertise, data agility, intellectual curiosity, and the ability to work independently in a fast-moving biotech environment.

Key Responsibilities

  • Develop, validate, and maintain high-quality Tables, Figures, and Listings (TFLs) to support ongoing clinical trials, interim analyses, and internal/external deliverables in compliance with study requirements and standards.
  • Perform hands-on statistical programming and data manipulation to support planned and ad hoc analyses, addressing evolving clinical and scientific questions.
  • Independently explore and interrogate clinical trial data to identify trends, anomalies, and insights that support clinical interpretation and decision-making.
  • Collaborate closely with Biostatistics, Clinical Development, Clinical Operations, Data Management,
  • Translational research and Medical teams to ensure alignment of analyses with protocol objectives and clinical intent.
  • Apply a strong understanding of therapeutic area, disease biology, and clinical endpoints to translate data into meaningful scientific insights.
  • Contribute to analysis datasets, program specifications, programming documentation, and quality control activities in accordance with internal standards and regulatory expectations.
  • Support process improvement initiatives, including enhancing programming efficiency, standardization, and  reproducibility across studies and programs.
  • This role operates with a high degree of autonomy in determining programming approaches, exploratory analyses, and data interrogation strategies to answer clinical questions. The Sr. Manager may independently make decisions related to analysis methods, programming solutions, prioritization of tasks, and investigative follow-up of data issues. Escalation and alignment are expected for changes impacting study-level strategy, major deliverables, timelines with external visibility, or regulatory-facing outputs.

Requirements

  • Master's degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
  • Demonstrated hands-on experience developing TFLs and performing ad hoc and exploratory analyses for clinical trials.
  • Strong understanding of clinical trial design, clinical data structures, and the medical context behind analyses.
  • Proven ability to work independently, manage ambiguity, and drive self-directed discovery from data.
  • Experience supporting oncology and/or cell therapy programs is strongly preferred.
  • Advanced proficiency in SAS for clinical trial analysis and reporting.
  • Working knowledge of R for exploratory analyses and data visualization
  • Strong experience with clinical data standards (e.g., SDTM, ADaM)
  • Experience with or strong willingness to leverage AI-assisted programming tools to accelerate development, enhance code quality, and support efficient generation of Tables, Figures, and Listings (TFLs).

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