Research Associate in Statistical Data Processing

Imperial College London Department of Materials

United Kingdom

Job summary

Novel drug formulations can be highly complex in composition and thus their physical and chemical properties, making process development highly challenging in both research and manufacturing. We have developed an analytical tool that has the potential to greatly accelerate the field of drug formulation. To fully translate this technology out of the laboratory, we are seeking an exceptional computational scientist with a strong quantitative...

Job listing information

  • Reference ENG01683
  • Date posted 29 April 2021
  • Closing date 31 May 2021

Key information about the role

  • Location South Kensington Campus (map)
  • Position type Full time, fixed term
  • Salary £36,045 – £48,340 plus benefits
  • Department Department of Materials
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

Novel drug formulations can be highly complex in composition and thus their physical and chemical properties, making process development highly challenging in both research and manufacturing. We have developed an analytical tool that has the potential to greatly accelerate the field of drug formulation.

To fully translate this technology out of the laboratory, we are seeking an exceptional computational scientist with a strong quantitative background in statistical multivariate analysis to work on the development of novel algorithms for spectral interpretation. Familiarity with process development (including DoE) is especially desirable.

Duties and responsibilities

Duties and key responsibilities are:

  • Develop statistical models from data generated in the lab.
  • Work responsively to provide urgent results to help translational efforts with external industrial collaborators.
  • Contribute to and liaise with software development projects.
  • Organise any documents in a traceable manner, facilitating teamwork.
  • Produce effective data visualisations.
  • Effectively communicate complex concepts to non-experts.
  • Participate in the daily management of the group laboratories and facilities.
  • To liaise with the other research staff and students working in broad areas of relevance to the research project and partner institutions.
  • To write progress reports and prepare results for publication and dissemination via journals, presentations, and the web.
  • To attend progress and management meetings as required and network with the other research groups.
  • To collaborate with industrial partners.
  • To take initiatives in the planning of research.

Essential requirements

Candidates/post holders will be expected to demonstrate the following:

  • A PhD (or equivalent) in Computer Science, Chemistry, Physics, Materials Science, Engineering or similar.
    *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
  • Experience in data science preferably related to spectroscopy, genetics, or related disciplines.
  • Experience in programming languages Python and Matlab.
  • Experience in chemometrics, multivariate data analysis or machine learning.
  • Experience in DoE or process development.
  • Experience in version control solutions (e.g. GitLab, GitHub).
  • Experience in data visualization.
  • Experience in translational work, with direct real-world applications.
  • Experience in writing papers including a number of first-authored papers in well-respected journals.

Further information

Further guidance may be sought from Mrs Darakshan Khan (d.khan@imperial.ac.uk).

Further information can be obtained from Professor Molly Stevens, m.stevens@imperial.ac.uk

For technical issues when applying online please email. support.jobs@imperial.ac.uk


In your application, please refer to Polytechnicpositions.com

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