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Research Associate

King's College London - Department of Child & Adolescent Psychiatry

Location: London
Salary: £38,304 to £40,414 per annum, including London Weighting Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th April 2021
Closes: 5th May 2021
Job Ref: 020244

Contact details: Professor Paramala Santosh,

Denmark Hill Campus   


Job description

The ideal candidate will play an integral role in supporting Professor Santosh who heads the Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD) at the Maudsley Hospital, London and the Centre for Personalised Medicine in Rett Syndrome (CPMRS) at King's College London. The role is looking for an expert in machine learning to assist Professor Santosh in extracting value from anonymised clinical data. The candidate will be expected to lead on all the processes from data collection, data management and training models. This would also include being able to develop algorithms using web and sensor-based data that can assist medication decision making in patients with complex multi-morbidity. 

The role also offers a unique opportunity for the suitable candidate to be directly involved in the development and modification of biometric sensors and would appeal to someone who has a strong background in algorithm development and expertise in developing and extensive testing of hardware. 

This role would be suited to a highly motivated individual with excellent technical skills that has the willingness to work within a multi-disciplinary clinical and research team that is using healthcare analytics to make a translational impact on the patient care pathway. The candidate would be passionate about artificial intelligence and deep learning, and stay up-to-date with the latest developments in the field. Candidates should have a PhD (or will shortly be assessed for a PhD) in Machine Learning, Computer Science, Mathematics, Statistics or other relevant discipline. 

This post will be offered on an a fixed-term contract for 12 months.

This is a full-time post.

Key responsibilities

  • To extract value from anonymised clinical data by integrating machine/deep learning knowledge from multiple sources to draw meaningful insights and predict trends. 
  • Establish scalable, efficient processes for data analyses, model development, validation and experimentation.
  • Collaborate with other members of the clinical and research teams to understand and support cross-functional projects. 
  • Have technical and lead responsibility for the assigned project/s.

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience

Essential criteria

  • PhD degree in machine learning, computer science, mathematics, statistics or other relevant discipline
  • Extensive data modeling and data architecture skills
  • Scientific technical expertise (ideally, in an academic or commercial environment)
  • Extensive knowledge in machine/deep learning frameworks
  • Advanced programming skills in Python, MatLab and/or R (and if applicable their related data processing, Machine Learning, and visualisation libraries
  • A proven track record in machine learning model development and deployment
  • Ability to work effectively in a multidisciplinary environment
  • Ability to organize own time and work independently
  • Strong written and verbal communication skills

Desirable criteria

  • Willingness to adapt and help train others in the team
  • Experience of writing peer-reviewed, data-based papers
  • Experience of collaborative clinical research
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