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Research Assistant / Research Associate (Data Scientist)

Job description

Research Assistant/Associate
Full time, fixed term
£32,380 – £44,220 plus benefits
Reference ENG00219
Closing date 11 March 2018

Job summary

We have an exciting opportunity for a Research Assistant/Associate to work on a joint initiative at Imperial College between the Data Science Institute (DSI), the Imperial NIHR Brain Sciences Theme - Division of Brain Sciences and the Institute for Translational Medicine and Therapeutics (ITMAT) Data Science Group to develop a “Big Data” translational platform for data curation, quality control and standardized analysis of complex imaging and phenotypic data.

Intended initially to rapidly enable more efficient exploitation of the UK Biobank ( dataset hosted at Imperial College, the platform is intended also to support emerging “real-time”, anonymized hospital administrative, laboratory and imaging data for research in the longer term. The initial focus will be on diseases of the brain, particularly including late-life dementias.

Duties and responsibilities

The successful candidate will be expected to exploit and contribute to the integration of high-throughput imaging data analysis methods, and to deploy advanced statistical analyses or machine-learning methods to discover associations between imaging features relevant to pathology and phenotypic data. The post holder will work closely with expert collaborators and clinicians to understand their needs and research questions.

Essential requirements

To apply you must have:

  • Proven track record of biomedical imaging data management and analysis
  • Solid knowledge in handling/processing large and complex datasets in batch mode
  • Experience in basic statistics, data mining and machine learning
  • You must have excellent verbal and written communication skills
  • Working knowledge of specialized toolkits and libraries (e.g. in R, Matlab, Python) and generic coding languages (e.g. Java, Perl, C/C++); basic shell scripting in UNIX and experience with SQL are all desirable.

To apply as a Research Associate you must have a PhD (or equivalent) in computer science, engineering, informatics or biomedical and/or biostatistics discipline.  At  Research Assistant level a good first degree (or equivalent) or Masters (or equivalent) in a related area.

Further information

Informal inquiries about the post can be directed to Dr. Elsa Angelini

How to apply:

Via our website at and search using vacancy reference number:  ENG00219
In addition to completing the online application, candidates should attach:

  • A full CV, including publications, experience and achievements
  • A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant

For queries regarding the application process contact Fay Miller ( )

Closing date 11th March 2018


Research Associate / Data Scientist

Behaviour Analytics Lab, DataScienceInstitute / Dept. ofComputing
Salary in therange: £36,800 - £44,220 perannum*
 FullTime, Fixed Term Contract up to 31stMarch 2019 (withpossibilityofextension)

 We are seeking to hire a Research Associate with expertise in behaviour analytics to work on a medical research project with possibly a subsequent extension subject to further grant raising. The KineMD project is undertaken in direct collaboration with Great Ormond Street Hospital (GOSH) involving a 12-month long study with 24/7 use wearable sensor to develop digital behavioural biomarkers that will aid children suffering from Duchenne Muscular Dystrophy. The study is funded by the Duchenne Research Foundation. Novel data sources are going to be collected at two levels of resolution: First, the “suit” - A high-resolution measurement involving an IMU-based motion capture suit that tracks and reconstructs full-body skeletal movement (100+ degrees of freedom) during clinical visits, when performing clinical assessments and in activities of daily living. Second, users will wear on a round-the-clock basis body sensor networks that track arm and leg kinematics.

 The aim of the project is the data-driven Identification of Behavioural Biomarkers through the development of appropriate methods for time series classification and unsupervised analysis (data science + machine learning) and to oversee the data-aspects of the data collection (data engineering).

 Essential requirements include:

  • A PhD (or equivalent) in Computational Neuroscience, Neural data analysis, Behaviour Analytics, Machine Learning for Time Series, Human Behavior Analysis, Computer Vision. A thorough understanding of quantitative methods for modelling and/or data driven analysis.
  • Experience supervising projects.
  • Experience in at least one or more of the following:  human behavior analysis, neural data analysis, human activity recognition or human biomechanics. 
  • Strong analytical mathematical skills and strong programming skills.

 Please see the job description and person specification for a full list of requirements. 

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant  within the salary range £32,380 to £34,040 perannum.

The position will be based in the Behaviour Analytics Lab of Dr Aldo Faisal (Chief Investigator) at the Data Science Institute. 
Informal enquiries regarding post please contact Aldo Faisal (, Subject: [Post-Doc]


For further details on this opportunity visit our website at the following link. and search using vacancy reference number ENG00194.
For queries regarding the application process contact Georgina Tennant (
For technical issues when applying online, please contact:

Applications must  include:

  • A full CV, including publications, experience and achievements
  • A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant

Closingdate: 28th February 2018

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Research Associate

Full time, fixed term
Salary £36,800 plus benefits
Reference ENG00164
South Kensington Campus

Job summary
The Data Science Institute (DSI), headed by Professor Yike Guo, is seeking an exceptional data analyst/data engineer to join an enthusiastic team to develop body sensor systems. The DSI launched in April 2014 as Imperial College’s fifth cross-faculty Institute provides a focal point for multidisciplinary data-driven research, supplying technology support for partners, and educating the next generation of data scientists.

The postdoctoral researcher will work on the EPSRC funded smart heart project to develop the medical images management and analysis platform for cardiology research

Duties and responsibilities
You will be expected to fully collaborate with team members and collaborating with partner biomedical research projects on data management and analysis; providing training/support to technical and non-technical end-users; contributing to the dissemination of work within the group and also externally at national and international conferences by presentation, publication and demonstration.

The successful candidate will be expected to: exploit and contribute to the development of the MRI scanning data warehouse based on the XNAT platform; to Integrate XNAT system with tranSMART system to provide clinician a unified platform for clinical study; develop automatic pipeline for data migration and integration; and to develop an intuitive web based interface to ease clinical use who may have little IT background.

Essential requirements
To apply you must have a PhD (or equivalent) in biomedical engineering,computer science or electrical engineering, and significant software development experience with an emphasis on image data management and analysis.

You should have a track record of data management, medical imaging, biomedical signal processing, algorithms and system design. You must also have experience of clinical medical images and cardiology.
A proven research record with publications in the relevant areas is also required. You must be fluent in English.

Further information
Job description of Research Associate-Smartheart

How to apply:
Via our website at  and search using vacancy reference number ENG00164
For queries regarding the application process contact Fay Miller
For technical issues when applying online, please contact:

Closing date:  18 February 2018