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Senior Mathematical Modeller

HealthLumen Limited

Reporting to: Chief Operating Officer

About HealthLumen

HealthLumen are specialists in quantifying the burden of diseases into the future.

Our platform, based on powerful microsimulation technology, enables us to simulate the health and economic impact of proposed interventions before real-world implementation. We generate evidence to support organisations in both the public and private sector with making key decisions in the lifecycle of a product or service, and in supporting the case for policy change.

We are now expanding our team to include a Senior Mathematical Modeller. The role will involve developing mathematical models, epidemiological analyses and economic evaluations of the dynamics of non-communicable diseases (NCDs) and genetic diseases, and models to evaluate the impact of interventions over the both the short and long term, including data analyses to parameterise the models.

Primary responsibilities 

Mathematical modelling: Develop microsimulation models to simulate the dynamics of chronic and genetic diseases, incorporating relevant epidemiological, clinical, and demographic data. Implement and validate models using statistical and computational methods.

Data analysis: Collect, preprocess, and analyse data ensuring the accuracy and reliability of input data for models. Collaborate with data scientists and other stakeholders to integrate diverse datasets.

Model calibration and optimisation: Calibrate models based on observed data and refine parameters to improve model accuracy and predictive capabilities. Implement optimisation techniques to enhance model performance and robustness.

Scenario analysis: Conduct scenario analyses to assess the impact of interventions, treatments, and public health policies on the prevalence and progression of diseases. Communicate findings to interdisciplinary teams and contribute to evidence-based decision-making.

Research and development: Stay abreast of the latest research in mathematical modelling, epidemiology, and disease management to inform model development and refinement.

Documentation and reporting: Prepare clear and concise documentation of modelling methodologies, assumptions, and results. Present findings through reports, presentations, and scientific publications.

Support development of HealthLumen’s strategy and product road map.

Key Skills 

  • Proven experience in mathematical modelling, particularly in the context of chronic and/or genetic diseases and using microsimulation.
  • Highly numerate, understanding of stochastic calculus and Monte Carlo methods
  • Proficient in programming languages, including R (expert), and C++ (desirable) 
  • Strong team working abilities, with ability to communicate with software developers, epidemiologists and collaborators
  • Excellent problem solving
  • Experience of project and/or team management
  • Experience of working across public and private sectors
  • Research skills

Qualifications

  • MSc/PhD in Applied Mathematics, Epidemiology, Statistics, or a related field.

Personal qualities 

  • A commitment to improving health outcomes
  • Excellent analytical and problem-solving skills.
  • Ability to work independently and collaborate effectively in interdisciplinary teams
  • Calm and focused under pressure
  • Strong communication skills, with the ability to convey complex concepts to diverse audiences.
  • Willingness to acquire new knowledge and skills
  • Comfortable adapting to sometimes rapidly changing circumstances

If you have any questions about this role, don’t hesitate to get in touch.

To apply, please send CV and covering letter to Sue Connolly: sue.connolly@healthlumen.com (via the ‘Apply’ button above)

Interviews will be held in the week commencing 22nd January 2024.

Location: London
Salary: Competitive plus Benefits
Hours: Full Time
Contract Type: Permanent
Placed On: 6th December 2023
Closes: 15th January 2024
   
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