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.

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.

Minimum Requirements

• Bachelor’s degree in Math, Stats, Computer Science or similar
• 5+ 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

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $98,200.00 - $273,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.