Clinical Scientist

2 months ago

London, Greater London, United Kingdom Kings College Hospital Full time
Job Overview

The Kings College Hospital is seeking a highly skilled Clinical Scientist to join our team as a Principal Informatician. This is an exciting opportunity to develop predictive algorithms using Machine Learning techniques as applied to healthcare settings for a number of key clinical areas.

The successful candidate will be responsible for developing the clinical analytics platform by managing, analysing and harmonizing genomics data alongside existing clinical, diagnostics and imaging data analytical pipelines. This will include publishing projects in peer-reviewed journals and supporting the day-to-day operational activity of the clinical analytics platform.

Main Duties
  • Develop predictive algorithms using Machine Learning techniques as applied to healthcare settings for a number of key clinical areas.
  • Develop the clinical analytics platform by managing, analysing and harmonizing genomics data alongside existing clinical, diagnostics and imaging data analytical pipelines.
  • Publish projects in peer-reviewed journals.
  • Support the day-to-day operational activity of the clinical analytics platform.
  • Lead on the evolution of current data flow architectures and develop the next generation of user-facing applications leveraging the information from the CogStack data lake.
  • Develop and improve internal quality management and data governance processes.
  • Supervise STP trainees and develop related training programmes.
Requirements
  • Educated to a BSc degree level with relevant domain knowledge, skills, and experience in the informatics field.
  • MSc in Computer Science, mathematics, statistics, physics, computational biology, artificial intelligence, data science or other quantitative field is preferred.
  • Completed or just completing Scientific Training Programme (or equivalence certification) in Bioinformatics / Health Informatics and registered / registration submitted for the Health and Care Professions Council.
  • Post-Graduate experience in advanced data analysis/machine learning related to healthcare.
  • PhD in computational biology, computer science, artificial intelligence, machine learning, data science or other quantitative field.
Desirable Skills
  • Experience in leading and managing a bioinformatics and data analytics team.
  • Experience in developing management policies and procedures.
  • Experience in developing informatics workflows in a complex clinical setting.
  • Proficient in R and/or python programming.
  • Proficient in the use of data science libraries (e.g. numpy/scipy, scikit-learn, pandas, tidyverse, matplotlib).
  • Experience with at least one major machine learning framework (e.g. pytorch, tensorflow, keras, NLTK).
  • Experience of using and applying machine learning and data-mining tools to address clinical, operational, audit and research questions.
  • Experience of supporting/developing a clinical analytics platform in a large, complex academic health science centre or similar environment.
  • Experience in Linux system administration.
  • Experience in the design, configuration and operation of databases, data warehouses and/or data lakes.
  • Experience in collaborative software development and delivery (e.g. agile practices).
  • Experience in the development of user-facing (web) applications.
  • Experience with data flow management software and ETL processes.
  • Experience with search/indexing engines based on the Apache Lucene library (e.g. Elasticsearch, Solr).
  • Experience of working closely with leading academic AI/Machine Learning groups to develop, test and implement 'Big Data Techniques' on health and genomic data.
  • Experience of producing software to be certified as a medical device and/or subject to clinical risk management standards.
Employer Certification/Accreditation Badges

You must have appropriate UK professional registration.

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