Senior Scientist in Electronic Medical Record Analytics

Organization
Genomics plc
Job Location
Oxford
United Kingdom
Benefits
  • The opportunity to work in an ambitious start up - alongside highly talented colleagues - that combines cutting-edge research with commercial delivery
  • Unprecedented access to data – the chance to work with one of the largest and fastest-growing genome-phenotype databases in the world as well as many of the largest genomic projects in the world
  • Varied challenges targeted at real problems facing the healthcare industry, using novel tools and approaches that will radically change our understanding of human disease
  • The chance to contribute to work that will have a direct impact on people and disease treatment
  • A competitive salary, with pension, private healthcare and other benefits
  • Share options in Genomics plc
  • The opportunity to use hack time for blue sky projects and research
Job Description

We are seeking an exceptional candidate to drive the genomic analysis of electronic medical records (EMRs). You will be developing and applying innovative machine learning and data science approaches to combine genomic information with routine health-care data to uncover relationships in human biology and disease. You will help to build up knowledge of the systems, ontologies and use practices of EMRs across health care systems that are engaged in large-scale genomic data collection.  You will lead the development of digital phenotyping approaches for establishing robust clinical interpretation that capture primary disease and features such as disease subtype, progression and response to treatment.  You will work with statisticians to develop approaches for the genetic interpretation of disease phenotypes obtained from EMR, combining information on both common and rare genetic variation.  You will be passionate about the opportunity of genetics to transform healthcare. 

  

Requirements
  • Experience in developing, validating and applying algorithms for capturing disease state from EMRs and measuring features such as subtype, progression and response to treatment
  • Understanding of the major EMR systems in use throughout Europe and the USA, health-care coding systems and ontologies (e.g. ICD10, SNOMED CT, HPO) and real-life understanding of heterogeneity in and biases arising from use practices
  • Exceptional data science skills with practical experience of using machine-learning techniques to capture structure within EMR data
  • An understanding of the scientific questions which arise from the genomic analysis of EMR data, including clinical genomic interpretation, disease-gene discovery and pharmacogenetic analysis
  • Strong reputation, mostly likely gained within the academic community, for novel and insightful analyses which make a difference to the science
  • The ability to lead work at the interface between genomics and the scientific problems to which it can be addressed
  • PhD in data science or a related discipline
  • Strong communication skills.
  • Given the sensitive nature of data used in Genomics plc you will be expected, as with all other employees, to ensure high standards of information security in your work.
How to Apply

Please apply with a CV and cover letter addressing the above criteria to [email protected]

Genomics plc welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

About Our Organization

Genomics plc is an ambitious genome analytics business formed in March 2014 by four leading scientists at the University of Oxford, including Peter Donnelly (Director of the Wellcome Trust Centre for Human Genetics) and Gil McVean (Director of the Big Data Institute). There will be an explosion in human genomic data linked to health and other outcomes and the company’s vision is to bring together these data and develop sophisticated analytical methods for their interpretation in various scientific contexts. We have already developed the largest genotype-phenotype database of its kind in the world (comprising over 700 studies, almost 3 million participants and 500 unique phenotypes), together with functional genomic data.  We have collaborations with four leading pharmaceutical companies and are the Analysis Partner for Genomics England's GENE Consortium of pharma companies.  Backed by some of the leading investors in life sciences, Genomics plc now has a cross-disciplinary team of over 30 people, primarily scientists and software engineers, based in central Oxford.

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