Senior Statistical Programmer, Early Phase (PK/PD) - FSP

IQVIA
Reading
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (Hiring Immediately)

Senior Data Scientist - Growth & Retention (Hiring Immediately)

Senior Data Scientist - Growth & Retention

▷ (10/05/2025) Senior Data Scientist

Head of Data Science

▷ (Urgent Search) Head of Data Science

Why IQVIA DSSS?

Data Sciences Staffing Solutions, DSSS or DS3, is a unit within IQVIA that provides our sponsors with fully dedicated resources through a Functional Service Provider (FSP) partnership. This means you get all the benefits of working for an industry leading global CRO while operating within a sponsor environment and utilizing sponsor systems. These sponsor clients include world class pharmaceutical and biotech companies offering you a unique opportunity to work within an eco-system where your role is both challenging and rewarding, while working alongside colleagues who are passionate about influencing the future of medicine and advancing therapies. With IQVIA's DSSS business unit, you are not just another cog in the machine; you become a core part of a dynamic team dedicated to reshaping the future of healthcare.

Job Requirements:

Provide hands-on Statistical Programming expertise for client's early phase translation medicine group. Responsible for creating ADaM safety datasets such as ADSL, ADLB, ADVS, ADEX, ADPC (concentration), ADPP (parameter), and POPPK (NONMEM) datasets, PK non-compartmental (NCA) tables, figures, and listings (TFLs).
Experience with Phase I studies, exposure response analysis, cross over design, and supported pooling of PK parameters required
Strong SAS technical skills and in-depth CDISC knowledge
Good knowledge regulatory requirements for submissions
Project/Study lead experience strongly preferred

Education/Experience:

Bachelor’s Degree in Statistics, Computer Sciences, Bioinformatics, or related field, and5 or more years of relevant experience

This position is remote based (Anywhere in Europe) and Full-Time.

Additional Benefits:

Home-based remote work opportunities
Great work/life balance
Collaborate on projects and innovations with industry leaders in the Pharma and CRO sectors 
Cohesive team environment fostering a collaborative approach to study work
Variety of therapeutic areas, indications and, study phases
Job stability; long-term engagements and development opportunities
Technical training and tailored development curriculum
Career advancement opportunities

IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.