Clinical Data Scientist

Progress Sales Recruitment
Manchester
2 weeks ago
Create job alert

Clinical Data Scientist – Pharmaceutical / Clinical Trials / RWE

Are you a dedicated Clinical Data Scientist with a passion for advancing pharmaceutical research? This role offers a unique chance to be at the forefront of groundbreaking clinical studies, where your expertise will directly impact the development of life-changing treatments.

Imagine a position where your skills are not only valued but essential. This role promises an environment that fosters professional growth, innovation, and collaboration. The organisation is renowned for its commitment to excellence and its supportive culture, ensuring that every team member thrives.

The office is based in Manchester – you will access once a week – maybe slightly flexible.

The package will depend on experience but will be circa £48-55k with benefits

The Environment…

  • Innovative Solutions: Be at the forefront of advancing drug development through cutting-edge Electronic Health Records (EHR) technology, which accelerates clinical trials and improves patient outcomes globally.
  • Professional Growth: Join a highly experienced and collaborative Executive Team, offering ample opportunities for career development and leadership.
  • Company Culture: Join a workplace that values innovation and collaboration, fostering an environment where you can thrive professionally.

    The ideal candidate will possess a robust background in clinical data science, specifically within the pharmaceutical or clinical research sectors. A deep understanding of the Study Data Tabulation Model (SDTM) is crucial, as this role involves the meticulous management and analysis of clinical trial data to ensure compliance with regulatory standards.

    Key responsibilities include:

  • Designing and implementing data collection systems and other strategies that optimise statistical efficiency and data quality.
  • Interpreting data, analysing results using statistical techniques, and providing ongoing reports.
  • Identifying, analysing, and interpreting trends or patterns in complex data sets.
  • Collaborating with cross-functional teams to ensure data accuracy and integrity throughout the clinical trial process.

    Essential skills and experience:

  • Proven experience as a Clinical Data Scientist within the pharmaceutical or clinical research industries.
  • In-depth knowledge of the Study Data Tabulation Model (SDTM).
  • Proficiency in statistical software and data management tools.
  • Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner.

    This role is more than just a job; it is a chance to contribute to meaningful scientific advancements while developing your career in a dynamic and supportive environment. If you are ready to take the next step and make a real difference in the world of clinical research, this could be the perfect fit.

    At Progress Recruitment, we're passionate about making the perfect match between top talent and leading medical companies With over 20 years of experience, we specialise in numerous roles within the medical sector, ensuring the highest levels of service for both our clients and applicants.

    Check out our areas of expertise:

  • Roles: Nurse Advisers, Clinical Specialists, Theatre Sales Specialists, Sales Executives, Business Development Managers, Team Leaders, Sales Managers, Sales Directors, and more.

  • Core Therapy Areas: Vascular, Endoscopy, Urology, Neurology, ENT, Infection Control, Anaesthesia, Blood Products, Diathermy, Infusion, Orthopaedics, Surgical Instruments, and all PCT, Primary, Secondary, Theatre and Rehabilitation products.

    Are you looking for your next career move? Or perhaps you're in need of specialised talent for your team? At Progress Recruitment, we're here to help you succeed

Related Jobs

View all jobs

Clinical Data Scientist

Senior Data Scientist

Lead Data Science Researcher

Lead Data Science Researcher

Lead Data Science Researcher

Genomic Data Scientist

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.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

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

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

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

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.