Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Clinical Data Scientist

Manchester
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Research Data Scientist | Barts Health NHS Trust

Real World Data Scientist

DSX Data Scientist

DSX Data Scientist

Lead Data Scientist

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.