At a Glance
- Tasks: Develop Bayesian models to assess medical risk and support triage prioritisation.
- Company: Innovative health tech company focused on real-world impact.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on impactful projects in emergency medicine.
- Why this job: Make a difference in healthcare by working with cutting-edge data science techniques.
- Qualifications: PhD or strong MSc in relevant fields and experience with Bayesian modelling.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a biostatistician with expertise in Bayesian modelling to work on probabilistic modelling of physiological data and medical risk. The role focuses on developing statistical frameworks that combine multiple data sources to estimate the probability of life-threatening deterioration and support triage prioritisation.
You will work closely with AI engineers, medical advisors, and the product team to design models that operate in real-world environments with noisy and incomplete data.
Responsibilities
- Develop Bayesian statistical models to estimate physiological deterioration risk from multi-sensor data
- Build probabilistic frameworks integrating vital signs, haemodynamic indicators, motion data, and environmental variables
- Design and run simulation studies to test triage algorithms and risk scoring systems
- Work on uncertainty quantification and probabilistic inference for medical decision support
- Collaborate with engineers to integrate statistical models into machine learning pipelines
- Analyse physiological and operational datasets to identify predictive patterns
- Support validation of models against real-world medical outcomes
- Contribute to scientific publications and technical documentation
Profile
- PhD or strong MSc in biostatistics, epidemiology, statistics, applied mathematics, or a related field
- Experience with Bayesian inference and probabilistic modelling
- Familiarity with health data, physiological signals, or medical datasets
- Strong programming skills in Python or R
- Experience with probabilistic frameworks such as PyMC, Stan, TensorFlow Probability, or similar
- Ability to work with noisy or incomplete real-world data
Nice to Have
- Experience with physiological monitoring, biosensors, or wearable devices
- Experience with causal inference or survival analysis
- Experience working with clinical datasets or emergency medicine
- Interest in defence technology, emergency response, or austere medical environments
Data Science · London / Remote · Full-time employer: Biostream
At Biostream, we pride ourselves on being at the forefront of innovation in battlefield medical intelligence, offering a dynamic work environment that fosters creativity and collaboration. Our culture is built on a foundation of trust and security, where exceptional engineers can thrive while working with cutting-edge AI technologies. With ample opportunities for professional growth and a commitment to pushing the boundaries of what's possible, Biostream is an excellent employer for those looking to make a meaningful impact in high-stakes environments.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science · London / Remote · Full-time
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Biostream!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science · London / Remote · Full-time at Biostream.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Biostream.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science · London / Remote · Full-time at Biostream, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science · London / Remote · Full-time
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Biostream, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Biostream. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Biostream
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Biostream!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
