Clinical Pharmacist

IQVIA
London
1 year ago
Applications closed

Related Jobs

View all jobs

Clinical Data Scientist

Clinical Data Scientist

Senior Data Scientist

25.03.25 Machine Learning Scientists/Engineers, Cambridge, UK

Data Scientist

Data Scientist

Type: Full-time, hybrid (around 50% from home, 50% at GP surgeries)

We are looking for pharmacists to join the team!

Join us in this exciting role where you will utilise your clinical expertise and commercial acumen to support patients with chronic conditions in primary care settings. As a clinical pharmacist at Interface Clinical Services, an IQVIA business, your responsibilities will include aiding practices with clinical tools, identifying opportunities for clinical reviews, ensuring adherence to protocols, and fostering awareness of Interface Clinical Services within primary care settings. 

This is the perfect role for a pharmacist who is looking for career progression!

Some principal responsibilities:

Support Practices to provide clinical tools and resource to help manage patients with long-term conditions. To ensure clinical services are delivered within the bounds of our protocols, service operating instructions and systems. To identify opportunities for clinical reviews at individual practice level, PCN or CCG level where there is clinical need. To enhance the awareness of Interface Clinical Services within primary care and to assist in developing long lasting relationships with practices and local NHS organisations.

Ideal candidate:

Registered pharmacist. Community or primary care experience desirable. Willing to travel as required, along with remote (home) working. A keen passion to make a positive difference to patients’ long-term health. Driven work ethic.

Benefits of working as Clinical Pharmacists with IQVIA:

Funding and paid leave for the Independent Pharmacist Qualification. Access to learning and career path development tools. Become a clinical expert in long term conditions eg AF, asthma, COPD, diabetes, heart failure. Car allowance £5500 (PLUS paid mileage). 25 days annual paid holiday, NO weekend, bank holiday or evening working. Opportunity to buy extra 5 days annual leave. Competitive open-ended bonus. Private healthcare (BUPA). Flexible benefits including private dental, competitive pension scheme, Life Assurance, Group Income Protection, Personal Accident Insurance and more! Online wellbeing support available 24 hours a day, 7 days a week, 365 days a year. Other benefits at corporate rates such as: gym memberships, access to 100s of restaurant/store discounts. Regular remote coffee mornings, regional meetings / team social events. Manage your own diary to enable flexible working and in practice.

Be part of the team and apply today!

Interface Clinical Services, an IQVIA business, are the largest organisation within the UK healthcare sector to fully employ a team of pharmacists. We operate in partnership with both the NHS and industry.

As pioneers of Clinical Pharmacist-led services, here at Interface we believe that a career in healthcare is more than just a job, it’s a vocation. Our mission is simple, to improve clinical outcomes and improve patients’ lives, we want you to be part of that journey and know that you are making a difference.

Please note: Sponsorship is not available for this opportunity

#LI-CES

#LI-DNI

#LI-LJ1

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.

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.

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.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.