Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse real world data and provide expert statistical support for clinical studies.
- Company: Join a leading firm in Real World Evidence with a flexible, remote work culture.
- Benefits: Enjoy a zero-hours contract that fits your schedule and supports diverse projects.
- Other info: Work independently while collaborating with multidisciplinary teams in a dynamic environment.
- Why this job: Make a real impact in healthcare by delivering high-quality analyses and insights.
- Qualifications: MSc in Statistics or related field with 10-15 years of relevant experience.
The predicted salary is between 40000 - 50000 £ per year.
Contract Real World Evidence Statistician – RWE Analysis (Zero Hours Contractor)
Location: Remote / Flexible
Contract Type: Zero Hours Specialist Contractor (Time and Materials)
Function: Statistics / Real World Evidence
About the Role
We are seeking an experienced RWE, Real World Evidence Statistician to provide specialist statistical support for RWE clinical studies on a flexible, zero-hours contract basis. This role focuses on delivering high-quality RWE analyses, quality control activities, and analytical peer review in line with study protocols, Statistical Analysis Plans (SAPs), and regulatory expectations. This is an ideal opportunity for a contractor who enjoys working independently within a defined analytical scope while collaborating with multidisciplinary clinical development teams.
Key Responsibilities
- Real World Evidence Data Analysis and Reporting
- Perform standard real world analysis studies
- Provide expert statistical input into the design of observational and non-interventional studies using real world data (RWD)
- Advise on appropriate study designs (e.g. pre/post, cohort, matched comparator, benchmark-aligned analyses) and their limitations
- Define analytically sound frameworks for outcomes reporting aligned to the intended use (e.g. external credibility rather than regulatory submission)
- Quality Control and Review
- Act as an independent statistical expert reviewing client-generated RWE analyses
- Provide written and verbal critique of analytical approaches and outputs
- Support refinement of outcomes reporting to improve credibility and external acceptance
- Peer review analyses performed by other statisticians or programmers
- Document QC findings clearly and support issue resolution in line with SOPs and good statistical practice
- Client-Facing Scientific Support
- Engage directly with sponsors to understand clinical services, data sources, and stakeholder objectives
- Participate in scientific discussions with clinicians, medical leadership, and external partners
- Represent Quanticate as an independent, authoritative biometrics partner in RWE discussions
- Training and Thought Leadership
- Provide internal guidance or training on RWE methodology and good practice
- Contribute to white papers, methodological guidance, or thought leadership content in RWE
- Support development of repeatable RWE analysis frameworks for ongoing client use
Contract Details
- Flexible zero-hours arrangement based on project demand
- Time and materials engagement model
- Opportunity to support a range of early-phase clinical development programmes
- Fully remote working environment
How to Apply
Please submit your CV outlining relevant PK analysis experience and availability for contract work.
Requirements
About You
- Qualifications and Knowledge
- Expert understanding of observational study design and analysis
- Deep knowledge of RWE/RWD principles, strengths, and limitations
- Strong grounding in causal inference concepts, bias, and confounding
- Working knowledge of relevant guidance (e.g. FDA RWE Framework, EMA guidance, ISPOR good practice)
- Minimum qualification: MSc in Statistics or related quantitative discipline (or equivalent experience)
- Experience
- Typically 10-15 years’ experience in pharmaceutical, healthcare, CRO, or academic settings
- Demonstrated experience delivering independent RWE or outcomes research consultancy
- Proven ability to review, challenge, and refine non-interventional analyses
- Experience working with medical record–derived or routinely collected healthcare data
- Technical Skills
- Proficiency in SAS and/or R; familiarity with real world data structures
- Ability to explain complex methodological issues clearly and proportionately
- Strong analytical accuracy and attention to detail
- Ability to work independently while adhering to defined specifications
Benefits
N/A
Zero Hour Contract - Statistician - Real World Evidence employer: Quanticate
Contact Detail:
Quanticate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Zero Hour Contract - Statistician - Real World Evidence
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage on platforms like LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to RWE analysis. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your previous work, especially any RWE analyses you've conducted. We love seeing real examples of your skills in action, so don’t hold back!
✨Tip Number 4
Apply through our website for the best chance at landing that zero-hours contract. We keep an eye on applications made directly through us, so make sure you’re in the mix!
We think you need these skills to ace Zero Hour Contract - Statistician - Real World Evidence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in RWE and observational study design. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Showcase Your Expertise: In your application, emphasise your understanding of RWD principles and causal inference concepts. We’re looking for someone who can demonstrate their deep knowledge in these areas, so let it shine through!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, especially when it comes to complex statistical concepts. Make it easy for us to see your qualifications!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Quanticate
✨Know Your RWE Inside Out
Make sure you brush up on your knowledge of Real World Evidence (RWE) and Real World Data (RWD) principles. Be ready to discuss their strengths, limitations, and how they apply to observational study designs. This will show that you’re not just familiar with the concepts but can also engage in meaningful discussions about them.
✨Prepare for Technical Questions
Expect questions that dive deep into statistical methods and causal inference concepts. Review your understanding of bias, confounding, and relevant guidance like the FDA RWE Framework. Being able to articulate these concepts clearly will demonstrate your expertise and confidence in the field.
✨Showcase Your Independent Working Style
Since this role involves working independently, be prepared to share examples of how you've successfully managed projects on your own. Highlight your ability to adhere to specifications while delivering high-quality analyses, as this will resonate well with the interviewers.
✨Engage in Scientific Discussions
Be ready to discuss how you would interact with sponsors and multidisciplinary teams. Think of examples where you’ve effectively communicated complex statistical ideas to non-statisticians. This will illustrate your ability to be a client-facing expert and a valuable team member.