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- Tasks: Lead real-world evidence strategy and drive impactful analytics for life sciences clients.
- Company: Innovative healthcare consultancy with a focus on cutting-edge data solutions.
- Benefits: Strong benefits package, pension, and annual bonus opportunities.
- Other info: Dynamic remote role with opportunities for mentorship and career growth.
- Why this job: Shape high-stakes evidence generation and influence the drug lifecycle.
- Qualifications: Advanced degree in Biostatistics/Statistics and 2-7 years of consulting experience.
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 Cambridge 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 Cambridge
✨Tip Number 1
Network like a pro! Connect with professionals in the biostatistics and healthcare consulting fields on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to reach out for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your best work in RWE and observational research. Include case studies, publications, and any impactful projects you've led. This will not only impress potential employers but also give you confidence during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company and its clients thoroughly. Be ready to discuss how your experience aligns with their needs, especially in terms of statistical analysis and client influence. Practise answering common interview questions and think about how you can demonstrate your leadership skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your hands-on experience with real-world data and your ability to turn complex outputs into clear insights. Let’s get you that dream job!
We think you need these skills to ace Senior Biostatistician - Real World Evidence/Data Analytics - Remote in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Biostatistician role. Highlight your expertise in RWE, observational research, and any relevant consulting experience to catch our eye!
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 your background can help shape real-world evidence strategies for our clients.
Showcase Your Technical Skills: Don’t forget to mention your programming prowess in R and/or SAS! We love seeing candidates who can turn complex data into actionable insights, so be sure to highlight any relevant projects or publications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our innovative consultancy!
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 Leadership Skills
Since this is a senior position, highlight your experience in mentoring junior statisticians and leading projects. Prepare examples that demonstrate your ability to influence clients and cross-functional teams, showcasing your leadership style and impact.
✨Prepare for Technical Questions
Expect to dive deep into statistical methods and programming languages like R and SAS. Brush up on your technical skills and be ready to solve problems on the spot, as this will show your hands-on expertise and analytical thinking.
✨Craft Your Scientific Narrative
Think about how you can translate complex statistical results into clear insights. Prepare to discuss your publication history and how you've communicated findings effectively to non-technical stakeholders, as storytelling is key in this role.