Albus Health (registered as ‘BreatheOx Limited’) is a medical technology spinout company from the University of Oxford that develops intelligent remote monitoring systems. Within three years of forming, we have won several innovation awards, raised nearly £3 million in funding and commercialised our first product through a contract to supply to one of the world’s largest pharma companies in the respiratory space.

We are now looking for a Data Scientist who can help make our vision of improving the lives of hundreds of millions of people around the world a reality.  Please find below the details of our company, product, role and requirements.

What do we do and why do we do it?

Chronic respiratory conditions such as asthma and COPD are common, affecting a billion people worldwide, and are some of the leading causes of death and disability. Several billion dollars are spent each year into research and clinical trials in these conditions. However, the best tools available to monitor symptoms at home are subjective or require active engagement from the users, leading to very poor adherence and data quality. Lack of reliable tools leads to slower, costlier, and inefficient research, as well as hundreds of millions of hospital admissions which could be prevented through efficient symptom monitoring at home.


Albus Home RD, our first product, is an award-winning device that remotely monitors symptoms without anyone having to do or wear anything. With our proprietary algorithms, this enables the collection of continuous and objective data when people are at home without requiring any input or action. Being passive and plug-and-play, it is suitable for people of all ages, regardless of their technical ability or location. Moreover, it does not need any contact between two people or between the user and the device, making it ideal for the post-Covid world! Our product has exciting applications in clinical trials, and through the use of predictive analytics, in the prevention of respiratory emergencies such as asthma attacks.


Who are we?


Our team comprises industry-leading clinical, technical, and commercial experts, including the head of Respiratory Medicine at the University of Oxford, globally renowned respiratory researchers, the head of Computational Intelligence and Biomonitoring Lab at Oxford, and the former CEO of a medical technology unicorn. Our co-founders have a combined background in computer science, finance, and clinical practice. Please visit our website for more details.


What have we done so far?


We spun out of Oxford in 2017 and have since won 3 innovation awards (InnovateUK) funded by the UK government as well as the AI in Health and Care Award announced by the Secretary of State for Health and Care at the London Tech Week 2020. We commercialised our first product in 2019 to help pharmaceutical companies collect objective data in their clinical trials and secured a contract to supply our technology to a clinical study by one of the world’s largest pharma companies in the respiratory space.


What’s in it for you?


We are at an exciting stage of the company - moving from early adoption to a rapid growth phase, scaling our first product and building the next one. We are looking for a full-time Data Scientist to join us in our offices in central Oxford (post-February 2021, until or unless we are forced from home). You will be at the forefront of algorithm development for physiological signal analysis and work across the development spectrum from algorithmic ideation, implementation and validation on a rapidly growing in-house database. . Working in a young medtech start-up means that you will work directly with an exciting team of engineers, computer scientists, doctors and researchers who are passionate about solving one of the most urgent unmet needs in healthcare.


What will you be doing as the Data Scientist?


You will be focusing on algorithmic development of physiological sensor data from extracting low-level features up to high level  digital biomarker discovery.   You will test analysis pipelines, validate output and report findings to the rest of the team. As data scientist you are responsible for a  key aspect of the product: to analyse sensor data using signal processing and machine learning methods. You will be expected to perform independent research into prior art, understand the challenges in existing technology and developing innovative algorithmic solutions in support of  the company’s overall goal. On a day to day basis, you will be working with the other software and computer scientists as well as interact with the clinical teams, with regular meetings with the management team to outline the company’s research strategy.


In the role, you will be guided by advisors who are leaders in their field and reporting to the company’s Head of R&D. While your responsibilities will be on biomarker extraction and validation, you will have the opportunity to see the commercial and business aspects of growing an early-stage startup through direct discussions with the CEO and management team. 


What is the background or experience we are looking for?



  • MSc or PhD (preferred) in electrical engineering, information engineering, biomedical engineering, physics or related fields

  • 3+ years R&D experience (including academic) working with digital signal processing or machine learning, preferably in healthcare and wireless sensors or digital biomarkers

  • Experience of delivering on self-managed or self-initiated projects involving machine learning and time series analysis

  • Being critical to obtained results and familiar with validation of biomedical algorithms

  • Languages/platforms (high proficiency) - MATLAB, Python

  • Experience of working with products that have a hardware component


Desirable Criteria:

  • 2+ years of experience working with a healthcare or medical technology startup

  • Demonstrable experience of managing independent projects, writing production code and growing a team

  • Productisation experience for products with a significant machine learning, signal processing and electrical engineering components

  • Experience developing remote symptom monitoring products

  • Experience creating deep learning models using at least one of the following frameworks- TensorFlow, PyTorch, Keras

  • Experience with radar signal processing or respiratory monitoring



How will be you compensated?


You will be compensated with a combination of a competitive salary and equity in the company.


By when would you need to join?


Feb 2021 or soon after


What to do next?


If you would like to join us in our journey to change the world, please forward your CV and cover letter (optional), or any questions you might have, to with the title of the role in the subject line.