IQVIA Posted October 8, 2026

PK/PD Statistical Programmer (m/w/d) - homebased

Reading, United Kingdom Full time
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IQVIA is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

We are seeking an experienced PK/PD Statistical Programmer with strong experience in R programming, PK/PD datasets, and NONMEM dataset creation. This role supports Pharmacometrics by producing high‑quality, compliant datasets for modeling and analysis, ensuring accuracy from early (unclean) through post‑lock clinical data. The ideal candidate brings deep technical expertise, strong problem‑solving skills, and a solid understanding of PK/PD principles.

Key Responsibilities

Program, validate, and deliver NONMEM‑ready PK/PD datasets based on SDTM/ADaM standards using advanced R programming skills.

Create high‑quality PK/PD datasets for both pre‑lock and post‑lock clinical data.Independently execute programming tasks of medium to high complexity with excellent accuracy and timeliness.Critically review data, identify inconsistencies or gaps, and propose solutions to improve dataset quality and programming efficiency.

Perform quality control (QC) of NONMEM datasets, including those produced by external partners.Support preparation of deliverables for regulatory submissions following internal Pharmacometrics guidelines.

Conduct QC of customized R packages used for pharmacometrics workflows; enhance or build automated test suites where needed.

Liaise with cross‑functional teams including Data Management, Biostatistics, Statistical Programming, and Bioanalytical groups to resolve data issues and ensure alignment.Adhere to relevant SOPs, working instructions, and regulatory standards; maintain inspection readiness.

Contribute as a technical driver in the development and improvement of new PM standardization initiatives related to dataset creation and QC.

Required Qualifications

Bachelor’s or Master’s degree in a health, science, IT, mathematics, or related field.

Minimum 6 years of industry experience in clinical data analysis, statistical programming, or pharmacometrics support.

Expert‑level proficiency in R for data processing, dataset creation, and QC automation.Hands‑on experience creating NONMEM datasets, including complex data structures for PK/PD analyses.

Strong understanding of SDTM, ADaM, and controlled terminology.Applied knowledge of PK/PD principles and clinical trial concepts.High attention to detail with strong analytical, documentation, and communication skills.

Ability to work independently and collaboratively across global, cross‑functional teams

Preferred Skills

Experience building or enhancing standardized workflows for NONMEM dataset creation, submission packages, and QC.Experience with R package testing, validation frameworks, or reproducible programming practices.Familiarity with pharmacometrics workflows in clinical or real‑world settings.

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 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.

Job details

Seniority
Not listed
Function
Drug Discovery & Preclinical Research
Therapeutic area
Not listed
Location
Reading, United Kingdom
Employment type
Full time

How this role compares

Computed from every other active Drug Discovery & Preclinical Research role in our database, not just this employer's listings.

We currently track 431 comparable Drug Discovery & Preclinical Research roles across 58 biopharma companies.

431Comparable roles tracked
405Currently active
58Companies hiring similar roles
17Countries represented

Salary context

154 of 431 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Highest disclosed · AVP/ Head, Quantitative Pharmacology & Pharmacometrics - Oncology · Merck $282,200/yr – $444,200/yr
Peer group range $0 – $363,200 (median $187,238)

Where these roles are based

Top locations among the 431 comparable roles

United States326
India16
China13
United Kingdom11
France10
Switzerland10

+ 11 more countries

Seniority mix

355 of 431 peers have a known seniority level

Senior101
Principal71
Intern/Fellow/Postdoc58
Director41
Associate Director24
Associate24
Senior Director17
Manager10
Executive/VP9

Therapeutic area mix

69 of 431 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology31
Neuroscience15
Immunology8
Cardiovascular / CVRM8
Respiratory2
Rare Disease2
Vaccines & Infectious Disease1
Gastroenterology1
Ophthalmology1

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The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

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Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

40%
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Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.