Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Real World Data Scientist

Clearline Recruitment Ltd
Welwyn Garden City
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK

Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK

Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK

Associate Director, AI Data Scientist - Mid-sized pharmaceutical company - Fully remote across UK

Role:Real World Data Scientist (Contractor)
Location:Welwyn Garden City - Hybrid (2 days per week in the office)
Hours:Full-time, 6-month contract (Inside IR35)
Pay: £44.77 - £52.24 per hour PAYE (basic, excluding holiday pay)OR£60 - £70 per hour UMB

Interviews to commence from 11th August.

An excellent opportunity has arisen for a Real World Data Scientist (Contractor) to join one of our longstanding clients, an exciting and forward-thinking organisation in Welwyn Garden City.

Benefits:

  • Weekly, competitive pay
  • Generous holiday allowance
  • Flexible hybrid working model
  • Collaborative, cross-functional team environment
  • Opportunity to contribute to impactful research in neuromuscular diseases

The Requirements:

  • Minimum of an MSc in Epidemiology, Pharmacoepidemiology or related discipline (PhD preferred)
  • 1-3 years of experience designing, writing protocols, and producing reports/manuscripts for real-world data studies in industry, CRO, or post-doctoral research
  • Ideally, familiarity or interest in neuromuscular conditions such as SMA, DMD, or FSHD
  • Experience with post-approval safety or effectiveness studies is a plus
  • Familiarity with R and collaborating with analytics teams is desirable

The Role:

  • Develop and document research plans and reports for non-interventional studies using sources such as registries, medical records, and claims data
  • Assess internal and external data sources for feasibility and quality in real-world evidence generation
  • Collaborate with analytics teams to define and refine study designs (coding experience not essential but beneficial)
  • Work cross-functionally with teams across clinical science, medical affairs, regulatory, access, and safety
  • Support the interpretation and communication of study findings
  • Work under the guidance of experienced real-world data scientists

If you're keen to join an exceptional team who can offer a supportive and research-driven environment focused on meaningful healthcare advancements, then please apply to thisReal World Data Scientist (Contractor)role below or callChloe McCauslandon between 8.30am and 5.30pm.

Y2hsb2UuODQxMjkuMTIyNzFAY2xlYXJsaW5lLmFwbGl0cmFrLmNvbQ.gif

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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.