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Discovery Sciences | No ordinary job

You are probably here because you are not looking for an ‘ordinary job.’  You are adaptable and curious.  You want to make a difference and improve sick people’s lives.

You’d like to work for a purposeful dynamic technology company in a fulfilling role where your work will have tangible and beneficial impact.

An innovative approach

We have an innovative approach; combining the expertise of machine learning researchers, health informaticians, clinicians and biologist to create an interdisciplinary team focussed on the whole problem rather than fragments of it, where people pool their experience and create technology-led solutions to complex clinical challenges.

Critically, this multidisciplinary approach is clinically led.  By combining a deep understanding of clinical practice and medical science with established and novel AI methods we make sense of huge quantities of patient data.  

Our team includes some of the best talent
Our team includes some of the best talent around the world from top educational, research and commercial organisations with published papers in eminent scientific journals and a passion for pushing the boundaries of scientific and medical discovery.
Everyone in the Discovery Sciences team is here because they are motivated to realise the potential of medical innovation to benefit patients.  We look after each other and operate a flat structure, where everyone listens, and everyone contributes.

Our work

Using complex data, combined with machine learning, these are some of the questions the Discovery Sciences team is trying to answer:
Better clinical trials

Better clinical trials

How can we design better clinical trials?

Understand disease

Understand disease

How can we understand disease more deeply and characterise different types of disease?

Patient stratification

Patient stratification

How can we advance patient stratification and find patient subgroups?

Predict disease

Predict disease

How can we improve disease prediction and detection?

Our interview path

1. An informal phone call with our talent team

No push, no pressure, no sell. Transparent conversations about what we do and how you might help.

2. Video call

Talk in depth technically and culturally with our team. We set coding or data science quizzes (when appropriate) prior to the call to see how you create solutions to complex problems. We love discussing different ways of overcoming challenge.

3. Time with the team

Come meet us face to face. We'll make ourselves available to your questions about work, career progression, values and science. A chance for you to see the team at work and play.

4. Talk strategy with our leaders

A chance to hear about strategy, opportunity and career paths. Find out from our C-suite where we're headed and where a career at Sensyne might take you.

The nature of the questions we ask is different because we're clinically led. We ask the things that are actually important to doctors.

Anna Antoniou
Data Scientist
Anna Antoniou, Data Scientist
Waqar Ali, Senior Data Scientist

Access to real-world data from the NHS totally changes the nature of the questions you're able to ask and the speed at which you can get to answers.

Waqar Ali
Senior Data Scientist

We embrace exploratory research, akin to the academic world. We don’t just apply methods that already exist. We have the space to innovate and develop new methodologies and technologies to interpret complex data.

Luca Albergante
Senior Data Scientist
Luca Albergante, Senior Data Scientist
Basel Abu-Jamous, Bioinformatician and Data Scientist

We get to work with leading experts from a diverse range of backgrounds. We're constantly learning from each other.

Basel Abu-Jamous
Bioinformatician &  Data Scientist

Join our team

We’re looking for people who share our collective passion for solving healthcare’s biggest challenges.

View current vacancies