Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop statistical frameworks using Bayesian modelling for healthcare analytics.
- Company: Innovative healthcare analytics company in Greater London.
- Benefits: Collaborate with engineers and contribute to impactful medical decision support systems.
- Why this job: Make a real difference in healthcare by predicting physiological deterioration.
- Qualifications: PhD or strong MSc in relevant fields, experience in Bayesian inference, and programming skills in Python or R.
- Other info: Exciting opportunity to work in a dynamic and collaborative environment.
The predicted salary is between 50000 - 70000 £ per year.
A healthcare analytics company in Greater London is seeking a biostatistician with expertise in Bayesian modelling. This role involves developing statistical frameworks to estimate the probability of physiological deterioration using multi-sensor data.
Candidates should have a PhD or strong MSc in related fields, experience with Bayesian inference, and strong programming skills in Python or R.
The position offers opportunities to collaborate with engineers and contribute to real-world medical decision support systems.
Bayesian Biostatistician — Medical Risk & Triage Modeling employer: Biostream
Contact Detail:
Biostream Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bayesian Biostatistician — Medical Risk & Triage Modeling
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare analytics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Bayesian modelling projects or any relevant work you've done with Python or R. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common biostatistics questions and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Bayesian Biostatistician — Medical Risk & Triage Modeling
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Bayesian modelling and any relevant programming skills in Python or R. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Biostream
✨Know Your Bayesian Basics
Make sure you brush up on your Bayesian modelling concepts. Be ready to discuss how you've applied Bayesian inference in past projects, especially in healthcare contexts. This will show your depth of knowledge and practical experience.
✨Showcase Your Programming Skills
Since strong programming skills in Python or R are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding exercises related to statistical analysis and data manipulation.
✨Understand Multi-Sensor Data
Familiarise yourself with the types of multi-sensor data used in medical settings. Be prepared to discuss how you would approach developing statistical frameworks for estimating physiological deterioration using such data. This shows your ability to apply theory to real-world scenarios.
✨Collaboration is Key
This role involves working closely with engineers, so highlight any past experiences where you've collaborated across disciplines. Discuss how you communicate complex statistical concepts to non-statisticians, as this will demonstrate your teamwork and communication skills.