Detailed job description and main responsibilities
Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.Please find attached the job description and person specification for this role which provides details of the main responsibilities.Person specificationEducation and QualificationEssential criteria
Educated to a BSc degree level with relevant domain knowledge, skills and experience in the informatics fieldMSc in Computer Science, mathematics, statistics, physics, computational biology, artificial intelligence, data science or other quantitative field is preferredPost-Graduate experience in advanced data analysis/machine learning related to healthcareDesirable criteria
Completed or just completed Scientific Training Programme (or equivalent) in Bioinformatics/Informatics and registered/registration submitted for the Health and Care Professions CouncilKnowledge and ExperienceEssential criteria
Proficient in R and/or PythonProficient in the use of data science libraries (e.g., numpy/scipy, scikit-learn, pandas, tidyverse)Experience of using and applying machine learning and data-mining tools to address clinical, operational, audit, and research questionsExperience in the use of NLP software and packages (e.g., NLTK, SPaCy)Desirable criteria
Experience of producing software to be certified as a medical device and/or subject to clinical risk management standardsExperience of supporting/developing a clinical analytics platform in a large, complex academic health science centre or similar environmentExperience of working closely with leading academic AI/Machine Learning groups to develop, test and implement 'Big Data Techniques' on health and genomics dataSkills and CompetenciesEssential criteria
Demonstrable experience and knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems using healthcare dataDemonstrable skills and competencies in collaborating with software engineering and AI development teamsCompetent working in a Linux environment, experience with cloud platforms and/or HPC clustersAbility to multitask and work under pressure independently as well as within a teamDemonstrable skills and competencies in documenting proposals and procedures to a high level. Demonstrated via previous work, publications, contributions to open source projects or coding competitionsDemonstrable skills and competencies in developing research and innovation proposals, including data security aspects and consent, and delivering through publications, contributions to open source projects or coding competitionsDemonstrable skills and competencies in providing consultancy services to clinical/academic users in developing their detailed proposal specifications using structured and unstructured dataDemonstrably high level of communication skills and ability to explain technical issues to a non-technical audienceAbility to manage user expectations and troubleshoot when requiredAble to liaise and communicate with staff from all levels within the TrustAble to prioritise workload in response to changing demandsStrong analytical and data visualisation skillsProfessional approach with skills in communication and team workingAbility to produce software in a quality managed environmentDesirable criteria
Demonstrable skills and competencies in transferring public and industry quality standards and tools to novel settingsEmployer certification / accreditation badgesApplicant requirements The postholder will have access to vulnerable people in the course of their normal duties and as such this post is subject to the Rehabilitation of Offenders Act 1974 (Exceptions) Order 1975 (Amendment) (England and Wales) Order 2020 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service to check for any previous criminal convictions.Documents to download
Data Scientist JD & PS (PDF, 288.4KB)Denmark Hill Site Map (PDF, 1.2MB)
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