Data Scientist

The Company
Abtrace is solving one of the most complex and impactful challenges in healthcare: enabling primary care to deliver proactive, preventative care at scale.
Our team of doctors, researchers, software engineers and data scientists combines clinical expertise, advanced software engineering and AI to build clinical algorithms that help primary care clinicians identify risks earlier and intervene sooner.
We are building digital health technology that delivers personalised Population Health interventions at scale. Our platform continuously analyses patients’ health records to identify early signals of deterioration, emerging disease and opportunities for preventative care—helping clinicians act before problems become more serious.
Today, our technology is deployed across more than 600 primary care practices, supporting care for 7.5 million patients.
The Role
We’re looking for a Data Scientist (Mid/Senior) to join our team. The core duty of the position will be the analysis of longitudinal healthcare datasets and development of predictive models from those datasets. The ideal candidate should have strong Python and SQL skills and be proficient in data science libraries such as scikit-learn, pandas and XGBoost, as well as transformer-based NLP techniques.
We are looking for someone who works well in a fast-moving team and communicates effectively with non-technical team members.
Responsibilities
Analyse large longitudinal clinical datasets.
Work with complex, real-world structured data, addressing missing values and class imbalance and preventing label leakage.
Design predictive algorithms and conduct machine learning experiments using clinical datasets
Validate and deploy models, monitor their performance and retrain them as needed
Collaborate with a small, close-knit and diverse multidisciplinary team of developers, data scientists and doctors.
Requirements
Proficiency in Python and SQL
Excellent knowledge of machine learning and MLOps
Experience with natural language processing (NLP), particularly transformer-based approaches
Experience with AWS cloud infrastructure, including services such as SageMaker and Athena
Nice to have
Hands-on experience with dbt or a comparable data transformation framework
Experience with time-series analysis, survival analysis, or longitudinal modelling
Benefits
Competitive salary depending on experience
Private Pension
Generous maternity/paternity leave
Flexi working & possibility for remote working
Company's office in Paddington - easy commute and comfortable surroundings
Motivated, highly functioning, multi-disciplinary team
Opportunity to be involved in ground-breaking technology impacting patient health

Work arrangement
No