Senior Statistical Programmer (R Programming)

IQVIA; England; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading clinical research organization in the UK seeks an experienced R programmer to provide technical expertise in the clinical PK/PD department. The role requires advanced R programming skills and knowledge of CDISC standards. Key responsibilities include data preparation, conducting statistical analyses, and ensuring the quality of outputs. Candidates should have strong organizational skills, attention to detail, and the ability to work collaboratively across teams.

Qualifications

• 7+ years of industrial experience.
• Desire to work in clinical PK/PD.
• Capable of implementing advanced modeling and statistical procedures.
• Excellent attention to detail and strong organization skills.

Responsibilities

• Cleaning and transforming raw clinical trial data.
• Writing R or Rmarkdown code for analysis.
• Creating graphs and tables to communicate findings.
• Ensuring CDISC compliance for regulatory submissions.
• Performing validation checks on programming code.

Skills

Advanced R programming skills

Tidyverse

ggplot2

Markdown

Quarto

Shiny

Python

SAS programming skills

Knowledge of CDISC standards

Data visualization skills

Problem-solving skills

Education

Bachelor’s degree in Math, Stats, Computer Science or similar

Job description

Join a sponsor-dedicated team, progressing with in-house study activities over the years. Experienced R programmer needed to provide technical expertise for clinical PK/PD department to meet internal and external needs.

Uses R and companion software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements.

Summary of the Essential Functions of the Job

• Data preparation and cleaning:
  • Cleaning and transforming raw clinical trial data from various sources to ensure accuracy and consistency for PK/PD analysis.
• Programming PK/PD analyses:
  • Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships.
• Data visualization:
  • Creating clear and informative graphs and tables to effectively communicate PK/PD findings.
• CDISC compliance:
  • Ensuring data is formatted according to CDISC standards for regulatory submissions
• Validation and quality control:
  • Performing thorough validation checks on programming code and analysis results to maintain data integrity.
• Identifies problems and develops tools that increase the efficiency and capacity of the Clinical PK/PD Programming group.
• Provide trainings to fellow programmers on industrial guidances, new or enhanced features of software tools that are relevant or applicable to job function above.

Minimum Requirements

• Bachelor’s degree in Math, Stats, Computer Science or similar
• 7+ years of industrial experience
• Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc. Python and/or SAS programming skills are a plus, but not required.
• Knowledge of CDISC standards (SEND, SDTM, and ADaM) is required.
• Desire to work in clinical PK/PD – knowledge and experience of PK/PD concepts and related programming is highly desirable.
• Experience visualizing/presenting data for internal stakeholders or clients
• Capable of implementing more advanced modeling and statistical procedures as requested by study team.
• Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis, and reporting/modeling of analysis results. Including handling of data issues and uncleaned data.
• Professional attitude, self-motivated, logical thinking
• Excellent attention to detail
• Strong organization skills and ability to work on multiple tasks simultaneously while achieving quality standards and meeting deadlines
• Good verbal and written communication skills. Strong interpersonal skills and ability to work collaboratively across teams
• Ability to problem solve and develop innovative approaches along with a drive to learn and master new techniques and technologies