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- Tasks: Lead real-world evidence strategy and drive impactful analytics in healthcare.
- Company: Innovative healthcare consultancy with a focus on cutting-edge data solutions.
- Benefits: Strong benefits package, pension, and annual bonus opportunities.
- Other info: Join a rapidly growing consultancy and mentor junior statisticians.
- Why this job: Shape high-stakes evidence generation and influence the drug lifecycle.
- 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
- Hands-on experience with real-world data (claims, EHR, registries - critical)
- Proven ability to turn statistical results into scientific narrative
- Strong publication history (protocols, SAPs, peer-reviewed work)
- Advanced programming in R and/or SAS
- Comfortable operating across multiple high-priority projects in a client-facing environment
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 - greg.harris@evisci.com
Senior Biostatistician - Real World Evidence/Data Analytics - Remote 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the biostatistics and healthcare consulting fields. Attend industry events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving real-world evidence and statistical analysis. This will help potential employers see your expertise in action. We recommend having this ready when you apply through our website!
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. You’ll need to translate complex statistical results into clear insights, so practice explaining your work in simple terms. We suggest doing mock interviews with friends or mentors to get comfortable.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show you were engaged. We believe this small gesture can make a big difference in landing the job!
We think you need these skills to ace Senior Biostatistician - Real World Evidence/Data Analytics - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in RWE, observational research, and any relevant programming skills in R or SAS. We want to see how you fit into our world!
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 real-world evidence, and don’t forget to mention any leadership experiences that showcase your ability to mentor others.
Showcase Your Achievements: When detailing your experience, focus on quantifiable achievements. Did you lead a project that improved outcomes? Did your analysis influence a major decision? We love to see how you've made an impact in previous roles!
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 the role. Plus, it shows us you’re keen on joining our team!
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 real-world evidence (RWE) knowledge. Be ready to discuss specific methodologies you've used in past projects, especially around observational studies and data analytics. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Prepare for Technical Questions
Expect some deep dives into statistical methods like causal inference or survival analysis. We recommend reviewing your advanced programming skills in R and SAS, as well as being prepared to explain how you've applied these in real-world scenarios. Practice articulating complex statistical concepts in a way that's easy to understand.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior statisticians, think of examples where you've led a team or project. Highlight your ability to influence clients and cross-functional teams, and be ready to discuss how you’ve shaped best practices in previous roles.
✨Craft Your Scientific Storytelling
This position requires translating complex outputs into clear insights. Prepare to share examples of how you've communicated statistical results effectively, whether through publications or presentations. We suggest practising how you would present your findings to a non-technical audience.