Work with us: Employment and PhD opportunities

There are multiple opportunities available within our large pan-London precision medicine informatics group based at King’s College London and the Farr Institute, UCL, working at the interface of genomics, electronic health records and wearables and their integration into the health system. Immediate posts are available for senior software developers in the areas of wearables and electronic health records with additional posts for data scientists coming shortly.


  • Senior Research Associate in Data Science (mHealth)
    Reference: THW/17/059639/001429 
    Salary Details: £41,212 to £49,149 per annum 
    Allowances: plus £2,923 London Allowance 
    Contract Type: Temporary/Fixed term 
    Contract Term: Full time 

    We are looking for a Senior Research Associate in Data Science to work on an exciting mobile health project within the Precision Health Informatics (phidatalab.org) group, part of the Centre for Translational Informatics (CTI) and Maudsley Biomedical Research Centre (BRC).

    The role will be working on the analysis of passive (e.g. sleep, heart rate, activity) and active (e.g. questionnaires) data streams derived from smartphones and wearables within our mHealth theme for mental health disorders. Key projects include a large €25m EU project, for Remote Assessment of Disease and Relapse (RADAR-CNS.org) of approximately 1500 participants.
    You will be identifying and applying appropriate methods, such as signal processing and deep learning, and collaborate with the relevant clinical teams and BRC themes to e.g. identify signal predictors of relapse, treatment response and detect anomalies at both individual and populational level.

    King’s College London is one of England’s oldest and most prestigious universities, a multi-faculty research-led institution based in the heart of London, and one of the world’s top 25 universities. King’s has over 27,600 students from 150 countries and over 7,000 employees. You’ll be working as part of a multidisciplinary team of data scientists, bioinformaticians, biostatisticians, clinicians, scientists and support staff.

    The selection process will include a presentation, an assessment and a panel interview.

    This post will be fixed term contract until 31 March 2022.

    To apply for this post, you will need to register with the HireWire system first to download and submit the application form.  Please note, should you wish to submit a CV and/or a short statement, you will need to copy & paste these at the end of the application form as the system will only allow one document to be uploaded.

    Closing date: 05 November 2017 

    Apply Here

    If you have questions about this role, please contact: Amos Folarin, Email: amos.folarin@kcl.ac.uk,

  • Lecturer or Senior Lecturer in Health, Medical or Bio Informatics

    Lecturer or Senior Lecturer in Health, Medical or Bio Informatics

    Reference: THW/17/059639/001049

    Contract Type: Temporary/Fixed term

    Contract Term: Full time

    An exciting opportunity has arisen for a Lecturer or Senior Lecturer in Health, Medical or Bio Informatics with Professor Richard Dobson’s research group in the Department of Biostatistics & Health Informatics.

    The post-holder will develop a portfolio of health-related informatics research which sits within, and benefits from, the leading programme of clinical, health and bioinformatics at the Maudsley Biomedical Research Centre (SLaM BRC), and the Centre for Translational Informatics (ctiuk.org) with access to linked EHRs, BioResource, mHealth (smartphones and wearables) and imaging datasets. The candidate will have the freedom to specialise in their own area of interest, whether that is bioinformatics using linked data from the BioResource, NLP of the EHR (e.g. learning patient similarity through embeddings), literature and social media, or high resolution real-time streaming analytics using data derived from wearable devices. Ideally the candidate would have interests across multiple data modalities with a background in relevant machine and deep learning as the ultimate aim is to integrate data for better patient care. The very best from the United Kingdom and across the globe are invited to join King’s & we are looking for a strong commitment to teaching, to push the boundaries of knowledge, influence the future and create a lasting impact.

    Lecturer Grade 7: £40,523-£48,327 per annum plus £2,623 London Weighting Allowance per annum / Senior Lecturer Grade 8: £49,772 – £57,674 per annum plus £2,623 London Weighting Allowance per annum

    This post will be fixed term for 4 years.

    The selection process will include competency based questions, a presentation, and a panel interview.
    Interviews are scheduled to be held in September.

    For an informal discussion to find out more about the role please contact Richard Dobson,Richard.j.dobson@kcl.ac.uk

    To apply for this post, you will need to register with the HireWire system first to download and submit the application form.  Please note, should you wish to submit a CV and/or a short statement, you will need to copy & paste these at the end of the application form as the system will only allow one document to be uploaded.

     

    Closing date: 20 August 2017

     

    APPLY HERE

  • RADAR Platform Software Developer

    RADAR Platform Software Developer

    Reference: THW/17/059639/000977
    Salary Details: £40,523 to £48,327 per annum
    Allowances: plus £2,623 London Allowance
    Contract Type: Temporary/Fixed term
    Contract Term: Full time

    An exciting new opportunity to be one of the lead developers of the EU RADAR-CNS project (www.radar-cns.org).,Remote Assessment of Disease and Relapse – Central Nervous System (RADAR-CNS) is an innovative and collaborative research programme that is exploring the potential of wearable devices to help prevent, and treat, depression, multiple sclerosis and epilepsy. You will be working on passive and active monitoring of Android applications to add new functionality and maintain existing code.

    The role will entail:

    ● Carrying out end-to-end development, deployment and maintenance of the wearable and mobile phone data harvesting platform
    ● Investigating & developing standards such as (OneM2M, Open mHealth, FIHR)
    ● Assisting in evaluation and benchmarking of reference set of wearable devices, phone sensors and apps to measure core data classes (eg. Sleep architecture, Physical Activity, Speech, Cognition, Social Connectivity, Memory)
    ● Developing and improving server-side infrastructure that enable:
    1) Data Ingestion from user devices and external services
    2) Data Quality Assurance features to provide alerts and reports about the successful transmission of sensor and trial data
    3) Database storage for sensor data
    4) An integration API layer to allow for interfacing with the data store (eg. Transmart, EMRs, and “build your own interfaces” that other work packages may want to construct)
    ● Extending functionality on the platform management interface and dashboards (Ionic Framework)

    This is a fixed term post for 3 years.

    The selection process will include competency based questions, a presentation, and a panel interview.

    Interviews are scheduled to be held in August.

    To apply for this post, you will need to register with the HireWire system first to download and submit the application form.  Please note, should you wish to submit a CV and/or a short statement, you will need to copy & paste these at the end of the application form as the system will only allow one document to be uploaded.

    Closing date: 09 August 2017

    If you have questions about this role, please contact: Amos Folarin, Email: amos.folarin@kcl.ac.uk,

     

    APPLY HERE

  • Senior Research Fellow

    Senior Research Fellow

    University College London – Institute of Health Informatics – Clinical Epidemiology

    The post will be embedded within the Precision Health Informatics Data Lab (phidatalab.org), a pan-London lab that sits across the Farr Institute, UCL and King’s College London. Key to the mission of the group is to generate excellent research in health informatics, but to also deliver novel data driven interventions and tooling into the NHS. This role will play a key role in delivery of a number of these projects, including CogStack, an information retrieval and extraction platform (http://www.biorxiv.org/content/early/2017/04/02/123299). It implements best-of-breed enterprise search, natural language processing, analytics and visualisation technologies to unlock the health record and assist in clinical decision making and research. Additional projects include the EU H2020 KConnect project where we are overlaying semantic annotation and search capability supporting, for example, recruitment of patients into the 100k Genomics England project through HPO term annotation.

    So far, over 9 million free text documents and over 250 million diagnostic results and reports have been processed within CogStack within one hospital alone.

    We are currently working with three NHS Foundation Trusts (South London and Maudsley, King’s College Hospital, and University College London Hospitals) with others lined up, to implement this platform, resulting in lasting improvements to recruitment, business intelligence, and research capabilities.

    The primary focus of the role is to develop and manage enterprise software projects in the clinical and bioinformatics domains; subscribe to and develop good programming practices, such as Agile (scrum), Continuous Integration, Extreme Programming, Pair Programming, and Test Driven Development; attend and contribute to requirements gathering meetings with senior executives from within UCL and the NHS; train other staff to develop and maintain software projects. This post is funded until 31 January 2020 in the first instance.

    Relevant Masters degree (biological science, statistics, computer science, bioinformatics, or equivalent) or demonstrable significant relevant experience. J2EE and extensive experience with the Spring Enterprise framework. Significant Natural Language Processing (NLP) skillset. Knowledge of Python or R and excellent knowledge of Java. Good understanding of machine learning methods.

    A job description and person specification can be accessed via the link at the bottom of our page.

    UCL vacancy reference: 1651551

    Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

    Interested candidates are welcome to contact Professor Richard Dobson (r.dobson@ucl.ac.uk) for an informal discussion.

    If you have any queries regarding the application process, please contact Dr Wing-Chau Tung (w.tung@ucl.ac.uk).

    Closing Date: 6 August 2017.

    Latest time for the submission of applications: 23:59.

    Interview Date: TBC.

    CLICK HERE TO APPLY