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 Graduate Data Scientist, you'll apply your strong mathematical and problem-solving background to real-world healthcare challenges. This role is ideal for recent mathematics or physics post -graduate who are excited about working with complex datasets, learning modern data science techniques, and applying their skills in a practical, impactful way.
You'll be mentored by experienced data scientists while gaining hands-on experience with healthcare-related data, machine learning models, and software development practices.
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
Preparing, exploring, and analysing large and varied datasets.
Perform clinical data collection.
Devising techniques for data capture/analysis, and building rapid prototypes and proofs of concept.
Contributing to research, prototyping, and testing of algorithms and models.
Supporting the development of statistical and machine learning methods for healthcare applications.
Collaborating with data scientists, engineers, and clinicians to solve challenging problems.
Helping document software and methods in accordance with our internal Quality Management System (QMS).
Communicating ideas and findings to both technical and non-technical audiences.
Learning and contributing to internal tools, dashboards, and reports.
Ability to work on multiple ongoing projects with varying requirements, timescales and budgets.
What You'll Need
A strong academic background in Mathematics, Physics, or a related quantitative field (MSc, PhD).
Strong analytical and problem-solving skills, with an interest in applying them to healthcare challenges.
Some exposure to python programming and enthusiasm to develop further.
Experience with cloud platforms (e.g. google cloud platform, 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.
Curiosity about data science, machine learning, or signal processing.
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, adaptability, and enthusiasm for learning.
Nice-to-Haves (not essential, but a plus)
Signal processing and time-series analysis experience.
Previous experience in developing healthcare-based applications.
Experience with developing and testing CNNs, RNNs, and transformer models.
Computer vision knowledge.
Node, JavaScript
Experience with C/C++ programming.
Familiarity with working in an Agile environment.
Experience with data visualisation or time-series analysis (e.g. Tableau, Power BI, AWS QuickSight).
A demonstrable interest in digital health or medical technology.
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