LUPUS Clinical Research Fellow

UCL
London
6 days ago
Create job alert

About us

UCL is one of the top Universities in the world with superb facilities for biomedical sciences and its translation to human disease. The successful candidate will join Professor Ehrenstein's group which focuses on translational research in autoimmune rheumatic disease spanning laboratory-based research to early phase clinical trials. Work within the Professor Ehrenstein's team aims to translate advances in the understanding of autoimmune rheumatic diseases into improved diagnosis and therapy. Close links to UCLH, which is world-renowned for research into and care for patients with systemic lupus erythematosus (SLE), provides an excellent interface between science and medicine. This partnership facilitates recruitment of patients into observational and interventional clinical trials supported by the UCLH rheumatology clinical trial team, lead research nurse Ellie Hawkins. Dr. Muhammad Shipa works as a principal research investigator and consultant rheumatologist, and collaborates with Prof. Ehrenstein. Working within our core group of principal research investigators, research nurses, and lupus consultants provides an unparalleled opportunity to deepen knowledge in this complex field from basic science to clinical trials.

About the role

STRATIFY-LUPUS is the first biomarker enrichment trial for patients with SLE funded by VersusArthritis and NIHR. The post holder will be involved in the clinical aspects of trial set up, conduct, patient recruitment at UCLH and liaising with local hospitals to enhance recruitment in collaboration with the local clinical trial team which includes research nurses and a trial coordinator. A trial manager, data manager, and statistician at The UCL Clinical Trial Unit support this multi-centre trial. A research assistant will perform the laboratory analyses of the samples, and the post holder will help to integrate the clinical and laboratory aspect of the project. The post holder will have the opportunity to gain experience in the conduct of lupus clinical trials, and some laboratory training and research potentially generating pilot data for publication and a PhD fellowship application. The post is available for 1 year in the first instance and is eligible for OOPR (out of programme research). Please contact Professor Mike Ehrenstein on for all informal enquiries.

About you

We are seeking a highly motivated medically qualified clinical fellow. The successful candidate will have a medical degree (MBBS or equivalent) and be on a training program in rheumatology or applying for a training program. GMC full registration, Membership of the Royal College of Physicians, and completed General Professional Training, or equivalent are essential. The candidate must have some experience in rheumatology including conducting rheumatology outpatient clinics and looking after inpatients with SLE. Knowledge of clinical trials and laboratory skills are desirable but not essential.

What we offer

This is an exciting opportunity to join a multidisciplinary team working across the Division of Medicine. As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are below:

  1. 41 Days holiday (27 days annual leave, 8 bank holidays, and 6 closure days)
  2. Additional 5 days' annual leave purchase scheme
  3. Defined benefit career average revalued earnings pension scheme (CARE)
  4. Cycle to work scheme and season ticket loan
  5. Immigration loan
  6. Relocation scheme for certain posts
  7. On-Site nursery
  8. On-site gym
  9. Enhanced maternity, paternity, and adoption pay
  10. Employee assistance programme: Staff Support Service
  11. Discounted medical insurance

Visithttps://www.ucl.ac.uk/work-at-ucl/reward-and-benefitsto find out more.

Our commitment to Equality, Diversity and Inclusion

As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people. Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.#J-18808-Ljbffr

Related Jobs

View all jobs

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.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.