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Research Associate in Biomathematics - London. Job in London Education & Training Jobs

Imperial College London

London

On-site

GBP 49,000 - 58,000

Full time

2 days ago
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Job summary

A leading university in the UK seeks a Research Associate in Biomathematics to work on stochastic modelling of single-cell dynamics. The successful candidate will join a pioneering research programme, requiring a PhD in a related field and expertise in mathematical biology or computational modelling. The role offers a competitive salary, career support, and 41 days off annually. The position is fixed-term for 24 months with a start date of October 1, 2025.

Benefits

41 days off per year
Generous pension schemes
Career development support

Qualifications

  • Strong background in stochastic processes or single-cell data analysis.
  • Experience with mathematical biology or computational modelling.
  • Ability to apply new concepts and techniques independently.

Responsibilities

  • Develop mathematical and data-driven methods for single-cell dynamics.
  • Work with stochastic models to guide research development.
  • Engage effectively with interdisciplinary collaborators.

Skills

Stochastic modelling
Statistical inference
Data analysis
Interdisciplinary communication

Education

PhD in applied mathematics or related field

Job description

Research Associate in Biomathematics
Job Type: Full-Time.
Starting Salary: £49017 - £57472 per annum plus benefits
To find out more about the job please click the apply for job' button to be taken to Imperial job site

About the role

Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London, funded by UK Research and Innovation and will involve stochastic modelling for single-cell dynamics.

What you would be doing

You will work closely with Dr Philipp Thomas and the Single Cell Dynamics Group at Imperial College on developing mathematical and data-driven methods for single-cell dynamics.

You will join a research programme at the interface of mathematics, statistics, and biology, aimed at understanding how individual cells respond to stress or drug exposure, such as antimicrobials or cancer drugs. The project will combine theory development with data to uncover theoretical principles that govern cell death and survival in heterogeneous and fluctuating environments. You will develop theoretical and computational tools for stochastic models of cellular processes, design and implement statistical inference methods, and work with single-cell data to guide model development and validation.

What we are looking for

The essential requirements for this post are as follows:

  • Hold a PhD or equivalent level of professional qualifications and/or experience in applied mathematics, statistics, computational biology, physics, or a related discipline.
  • Experience with stochastic modelling of biological systems, such as using chemical master equations, agent-based models, or stochastic simulation algorithms.
  • A strong background in one or more of the following areas: stochastic processes, statistical inference, multi-scale modelling, or single-cell data analysis.
  • Evidence of original research in mathematical biology, computational modelling, or theoretical physics, commensurate with career stage.
  • Ability to engage in interdisciplinary research and communicate effectively with collaborators from different fields.
  • Ability to identify, develop, and apply new concepts and techniques independently.

What we can offer you

  • The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
  • Grow your career: Gain access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression
  • Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).

Further information

The position is full time and fixed term for 24 months. The expected start date is 01 October 2025.

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

In addition to completing the online application, candidates should attach:

  • A full CV,
  • A 2-page research statement describing why the candidate's expertise is relevant to this position and future research plans; and
  • The details of three referees.

Relevant research outputs of the group are Science Advances 10, eadl4895 (2024), Physical Review Letters 133, 198401 (2024), Cell Systems 15, p694-708.e12 (2024).

For any specific queries regarding the post please Dr Philipp Thomas,

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