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Junior R Statistical Programmer Jobs in New York

Katalyst CRO

Sr. Statistical Programmer

Edison, NJ · On-site +1

Mentor and support junior programmers, fostering quality, consistency, and CDISC best practices ... Experience with R or Python for data manipulation, automation, or reporting is highly valued ...

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Junior R Statistical Programmer information

What are the key skills and qualifications needed to thrive as a Junior R Statistical Programmer, and why are they important?

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What are typical challenges a Junior R Statistical Programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What are Junior R Statistical Programmers?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.

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

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

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Junior R Statistical Programmer jobs near you
Infographic showing various Junior R Statistical Programmer job openings in New York as of May 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Sr. Statistical Programmer

Katalyst CRO

Edison, NJ • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

ResponsibilitiesLead the development, validation, and documentation of CDISC-compliant SDTM and ADaM datasets for CNS clinical trials, ensuring traceability from raw data through analysis outputs.Program and QC tables, listings, and figures (TLFs) for interim and final clinical study reports, regulatory submissions, and client deliverables.Interpret study protocols, SAPs, and data standards to translate clinical objectives into analysis-ready datasets and outputs.Act as primary programming contact for assigned studies, collaborating closely with statisticians, data managers, and medical writers in a fully remote, fast-paced environment.Conduct independent QC and peer review of programming deliverables to ensure accuracy, compliance, and reproducibility of results.Develop and maintain study-specific programming specifications, documentation, and macros to streamline programming efficiency.Support regulatory submission readiness, including define.xml, reviewer's guides, and response to agency questions.Proactively identify and resolve data or programming issues that may impact timelines or analysis accuracy.Mentor and support junior programmers, fostering quality, consistency, and CDISC best practices across projects.Contribute to process improvement initiatives and template development for a growing statistical programming team.RequirementsBachelor's or master's degree in Statistics, Biostatistics, Computer Science, Mathematics, or a related scientific discipline; or a combination of education, training and experience that enables effective performance in this role.5+ years of statistical programming experience within the pharmaceutical, biotech, or CRO industry, preferably in CNS trials.Experience leading programming efforts for clinical trials, including dataset development, TLF production, and QC oversight.Advanced proficiency in SAS, with hands-on experience using CDISC SDTM and ADaM standards.Experience with R or Python for data manipulation, automation, or reporting is highly valued, though not required.Experience with regulatory submissions and standards, including Pinnacle 21, define.xml, and reviewer's guides.Experience working remotely and comfortable with virtual collaboration tools.Excellent written and verbal communication skills, and ability to explain technical concepts to non-programmers and cross-functional stakeholders.Strong interpersonal and teamwork skills, with the ability to work independently and prioritize across multiple projects.High attention to detail and focus on quality, reproducibility, and traceability in all deliverables.Demonstrated ability to follow SOPs, adhere to project timelines, and contribute to continuous improvement of programming processes.Proactive problem-solver and critical thinker, willing to adapt and thrive in a fast-paced CRO environment.Capable of managing multiple tasks and priorities in a dynamic environment with shifting timelines and evolving sponsor needs.Independent decision-making ability on complex programming and data-related decisions.Anticipate analytical needs, understand downstream impacts of programming decisions, and proactively identify gaps in data and specifications.Comfortable working across functional teams (clinical, data management, biostatistics, medical writing) and shifting quickly between strategic and tactical tasks.Demonstrate flexibility, adaptability, initiative, and the ability to troubleshoot efficiently in a collaborative team setting.Seniority level: Not Applicable | Employment type: Contract | Job function: Information Technology | Industries: Pharmaceutical ManufacturingJ-18808-Ljbffr

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