Data Scientist - AI Digital Health

Enter into an ambitious, empowered and fulfilling day-to-day where you are advancing our understanding of what’s possible in healthcare.

 

The eRx team is a place where your work has the potential to impact quality of life across the globe; where you’re free to learn, upskill yourself and contribute your best in a supportive, stimulating environment.

 

About electronRx:

Our mission is to build the interface between technology, the human body and healthcare organisations that will transform how we deliver healthcare and treat disease.

 

We’re a deep tech company, based in Cambridge, UK, with a fast-growing team driving the development and commercialisation of our novel disease management and hospital patient flow technologies that pave the way for personalised digital medicine.

 

As a group of interdisciplinary scientists, engineers and commercial people, we hold an inherent appreciation for the value created by diverse perspectives and we’re proud to be an enjoyable, open and respectful work environment for ALL, regardless of background or identity.

 

At eRx, We Are committed To:

• Highest quality innovation; solving real problems with scientific rigour and evidence-based value

• Improving healthcare for everyone, everywhere through scalable technologies that remove barriers to access

• Thinking outside the box with a fresh, deep tech approach that drives creative solutions to complex problems

• Putting the human in health tech with patient-centric design built by people who care

 

We are a hybrid work environment offering a combination of in-office and remote working.

 

The Opportunity:

As a Data Scientist, you will be expected to work with large amounts of healthcare-related data, process it at scale, research approaches from the relevant literature, test ideas and concepts in collaboration with other data scientists, and deploy models to the cloud. 

 

In this role, you’ll be expected to take ownership of the architecture that you create. This is a role that will combine aspects of deep ML and healthcare research, testing ideas and models on real-world medical data, and contributing towards the overall direction of our data science efforts. 

 

We are an open and ambitious team of scientists and engineers, keen to make a big impact in digital healthcare, and we believe this is a rare opportunity for someone that sees the trend towards the digitalisation of healthcare and is fascinated by such technological challenges.

 

Your Responsibilities:

• Data preparation, exploration, and analysis of large datasets encompassing sensor, video, audio, and patient demographic data

• Perform clinical data collection

• Devising techniques for data capture/analysis, and building rapid prototypes and proofs of concept

• Develop and test statistical algorithms or machine learning models on real-world medical data

• Communication of ideas and concepts at a high-level to both technical and non-technical audiences

• Contributing towards internal software libraries and code reviews

• Developing and maintaining dashboards, technical reports, and presentations

• Ability to work on multiple ongoing projects with varying requirements, timescales and budgets

 

What You’ll Need: 

• Bachelor’s  in a STEM or related field (Master’s or PhD preferred)

• 2+ years of experience with Python, machine learning libraries (e.g. scikit-learn, TensorFlow, PyTorch), cloud platforms (e.g. AWS, Firebase) and SQL/NoSQL databases.

• Strong communicator and ability to interact well with both other data scientists and non-technical audiences

• Comfortable in adopting and testing new ideas and approaches from cutting-edge research

• Openness to learning new domain knowledge and new technologies to apply to our use-cases

• Enthusiasm for digital health and desire to do well with the work you do

• Flexibility and agility in your approach to work

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Nice-To-Haves:

• Experience as a data scientist or similar role

• Medical and/or signal processing domain knowledge

• Previous experience in developing healthcare-based applications

• Experience with developing and testing CNNs, RNNs, and transformer models

• Computer vision knowledge

• Experience with C/C++ programming

• A demonstrable interest and/or experience working in digital health, digital therapeutics, or the medical technology industry in general

 

What We Offer:

• An inclusive, progressive and supportive workplace which encourages you to be you and gives you room to grow; the opportunity to upskill yourself.

• An opportunity to work with some of the most talented experts from numerous different fields.

• Flexible hours in a hybrid workplace.

• Invaluable experience in building a company and a product from the ground up.

• A budget for training courses in areas that will benefit you and us

• A central Cambridge office with secure parking and bike storage.

• A feeling of fulfilment knowing that you are working to make a positive impact on the lives of others.

 

How We Approach Diversity & Inclusion:

Diversity, inclusion and equal opportunity are at the very core of who we are. We’re working to improve healthcare for everyone, everywhere; shifting the paradigm from generalised to personalised medicine where every patient is treated as the unique individual they are, and we take the same approach to building out our team!

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GDPR:
When applying for this position, you are giving eRx the permission to hold your data for recruitment purposes. Any information provided will be stored securely in line with current data protection regulations and used for recruitment purposes only.

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Schedule:
Monday to Friday
Ability to commute/relocate: Cambridge
Work Location: In person