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- Tasks: Lead real-world evidence strategy and drive impactful analytics in healthcare.
- Company: Innovative healthcare consultancy with a focus on technology and growth.
- Benefits: Strong benefits package, pension, and annual bonus opportunities.
- Other info: Mentor junior statisticians and influence high-stakes evidence generation.
- Why this job: Shape the future of healthcare with cutting-edge data and strategic insights.
- Qualifications: Advanced degree in Biostatistics/Statistics and 2-7 years consulting experience required.
The predicted salary is between 60000 - 80000 £ per year.
Lead high-impact real-world evidence strategy in a fast-scaling, tech-enabled consultancy environment. A highly scientific globally respected healthcare consultancy is looking for an Experienced Biostatistician to play a pivotal role in shaping real-world evidence (RWE) strategy for leading life sciences clients across the US. This is a senior, hands-on biostatistics role with leadership elements for someone who thrives at the intersection of rigorous analytics, client influence, and scientific storytelling.
What You’ll Cover
- Drive end-to-end RWE generation – from study design → analysis → interpretation → publication
- Act as the go-to statistical expert across observational studies, RWD, and clinical contexts
- Lead development of protocols + statistical analysis plans (SAPs) aligned to regulatory and payer expectations
- Partner directly with Pharma clients + cross-functional analytics teams to solve complex evidence questions
- Translate complex outputs into clear, decision-driving insights
- Shape scientific communications
- Mentor and elevate junior statisticians; help define best practices and scalable processes
Ideal profile
- Advanced degree (MSc/PhD preferred) in Biostatistics / Statistics / Epi / Maths
- 2-7 years consulting experience
- Strong track record in RWE, observational research (programming, methods, results interpretation)
- Prior consulting or CRO experience is critical to be considered for this role (or research and services experience delivering studies for pharmaceutical clients in a similar setting)
- Deep expertise in ideally ≥2 of the following:
- Time-to-event / survival analysis
- Causal inference (propensity scores, IVs, matching)
- Simulation methods
- Missing data methodologies
- Time series / longitudinal modelling
- Predictive modelling
Why This Role
- Influence high-stakes evidence generation across the drug lifecycle
- Work with cutting-edge data sources (incl. genomics + integrated RWD)
- Be part of a rapidly growing, innovation-led consultancy
- Combine technical depth + strategic client impact
- Clear scope to shape team capability and thought leadership in RWE
- Strong benefits package, pension & annual bonus opportunities
Reach out now or apply for more info.
Senior Biostatistician - Real World Evidence/Data Analytics - Remote in Wolverhampton employer: Evidencia Scientific Search and Selection Limited
Contact Detail:
Evidencia Scientific Search and Selection Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Biostatistician - Real World Evidence/Data Analytics - Remote in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the biostatistics field, especially those who work in RWE. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your past projects and publications. When you get the chance to chat with potential employers, share how your experience aligns with their needs—especially in observational studies and statistical analysis.
✨Tip Number 3
Be proactive! Don’t just wait for job postings; reach out directly to companies you admire. Express your interest in their work and ask if they have any upcoming opportunities. It shows initiative and can set you apart from other candidates.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your skills. Plus, it helps us keep track of your application better, so don’t miss out on that chance!
We think you need these skills to ace Senior Biostatistician - Real World Evidence/Data Analytics - Remote in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Biostatistician. Highlight your experience in RWE and observational research, and don’t forget to showcase your programming skills in R or SAS. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for biostatistics and how you’ve influenced evidence generation in past roles. Be sure to mention any leadership experiences, as we value mentorship and team development.
Showcase Your Publications: If you have a strong publication history, make it shine! Include details about your protocols, statistical analysis plans, and any peer-reviewed work. This will help us see your ability to turn complex data into clear insights, which is crucial for this position.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Evidencia Scientific Search and Selection Limited
✨Know Your RWE Inside Out
Make sure you brush up on your knowledge of real-world evidence and its applications in the life sciences sector. Be prepared to discuss specific methodologies you've used, such as survival analysis or causal inference, and how they relate to the role.
✨Showcase Your Storytelling Skills
Since this role involves translating complex statistical results into clear insights, practice explaining your past projects in a way that highlights your ability to communicate effectively with clients. Use examples where your insights led to impactful decisions.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your programming skills in R and SAS, and be ready to discuss your experience with observational studies and real-world data. They might ask you to solve a problem on the spot!
✨Demonstrate Leadership and Mentorship
As this is a senior role, be prepared to talk about your experience mentoring junior statisticians and leading projects. Share specific examples of how you've elevated team capabilities and defined best practices in your previous roles.