Data Scientist

28 Nov 2018
26 Dec 2018
Contract Type
A digital Health business that uses proprietary clinical AI technology to analyse ethically sourced, clinically curated, anonymised patient data to solve serious unmet medical needs across a wide range of therapeutic areas, enabling a new approach to clinical trial design, drug discovery, development and post-marketing surveillance.


* Performing robust data analysis and communicating results with sophisticated visualisation methods
* Creating and implementing machine learning algorithms and assessing their effectiveness through solid validation workflows
* Clinical project support to guide decision making and create analytical solutions to address questions of interest to our pharma stakeholders.
* Assisting with the publication of scientific papers and abstracts


* PhD or equivalent in an applied quantitative field (e.g., statistics, biostatistics, physic, mathematics or biology)
* Expertise with the analysis of clinical data and the support of projects within Life Sciences
* Advanced knowledge of data science, machine learning and visualisation.
* Proficiency with programming and scripting languages (R/Python) and database (SQL)
* Ability to work independently and effectively in a fast-paced, team-based environment; project management and coordination skills; ability to prioritise tasks and meet multiple deadlines on concurrent projects
* Experience working with clinical data and/or working in the biomedical field is highly desirable
* Excellent verbal and written communication and presentation skills; excellent organisational skills; and excellent interpersonal skills to work effectively in a diverse team
* Experience in any of these fields is a plus: Medical Imaging, Natural Language Processing, Deep Learning, Non-SQL databases, clinical trials, Digital Health.


* Company share option scheme
* 5% employer matched Pension scheme
* BUPA Health Insurance including Partners and Children cover
* Free Gym Membership
* Cycle to work scheme
* Childcare vouchers
* A challenging and fun environment that rewards results

To find out more about Real please visit

Real Staffing, a trading division of SThree Partnership LLP is acting as an Employment Agency in relation to this vacancy| Registered office | 1st Floor, 75 King William Street, London, EC4N 7BE, United Kingdom | Partnership Number | OC387148 England and Wales

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