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Research Assistant / Associate in Medical Statistics / Clinical Research

Thrombosis Research Institute

Location: Chelsea, London
Salary: £39,000 to £42,000
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th October 2021
Closes: 26th December 2021

Contract Type: Fixed-Term (Full time)/24 months Contract

Job Role: Research Associate (Post-Doctoral)

Job Summary

The post of Research Associate (post-doctoral) involves research in the clinical field thrombosis and cardiovascular medicine. The Research Associate will be an integral part of a research team composed of statisticians, programmers, medical writers, clinical researchers, and operational experts. 

The post will be with the Thrombosis Research Institute (TRI). TRI has been a leader in the field of thrombosis research for the past 50 years. They have been involved in laboratory studies, randomized clinical trials and large international registries. They are moving into the area of large national and regional databases as well as studies that include wearable devices and multiple lab measures.  

Duties and responsibilities

The successful candidate will collaborate with Professors Lord Ajay Kakkar and Keith Fox as well as the director of the statistics and communications. The candidate will be expected to collaborate on current clinical research projects, help with the design of new clinical studies and publish research in machine learning and statistical venues. The candidate will also teach in the TRI clinical research fellowship program, designed to educate clinicians in research methodology.

For further information on the scope of TRI research, please visit the website:

https://www.tri-london.ac.uk/

Essential requirements

  • A PhD (or be close to completion) in an area pertinent to the subject area, i.e. statistics, predictive modelling techniques
  • Experience with the one or more of the following statistical/analytic languages such as Python (Pandas, Scikit-Learn), Apache Spark (or PySpark), Hive, and/or Scala in a cloud computing environment
  • Strong communication (oral, written, interpersonal, and presentation) skills
  • Proven publication track-record, in one or more of the following areas: computational optimisation, open source software, machine learning, predictive analytics
  • Apply data mining techniques and statistical modelling to large amounts of population health data to discover optimal treatment and utilization patterns that can lead to improved health and financial outcomes
  • Support acquisition and implementation of new information sources, data collection strategies, data governance, and analytics.
  • Analyse large collections of genomic / proteomic data
  • Help staff with data manipulation and analytic methods to improve analytic deliverables when required.
  • Knowledge of research methods and experience running experiments.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £35k -£39k per annum.

How to apply

Please submit your cover letter and CV to Recruitment@tri-london.ac.uk. The candidate should attach:

  • A full CV, with a list of all publications
  • A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.

Informal enquiries related to the position should be directed to Karen Pieper kpieper@tri-london.ac.uk.

For queries regarding the application process contact HR: amisra@tri-london.ac.uk

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