Research Associate in Malaria Surveillance Modelling and Ai

Job number

**MED05389**
- Faculties

**Faculty of Medicine**
- Departments

**School of Public Health**
- Salary or Salary range

**£49,017 - £57,472 per annum**
- Location/campus

**White City Campus - Hybrid**
- Contract type work pattern

**Full time - Fixed term**
- Posting End Date

**11 Sep 2025**

**About the role**:
Are you a modeller or data scientist ready to help reshape malaria surveillance in a changing world? As global funding cuts threaten both intervention delivery and the population-based surveys traditionally used to track malaria, countries urgently need sustainable, real-time alternatives. We are seeking a **Research Associate in Malaria Surveillance Modelling and AI**to help meet this challenge by transforming data provided by pregnant women attending antenatal care into actionable intelligence on malaria transmission and burden. You'll work alongside national malaria programmes to co-develop tools that are embedded into routine health systems and data dashboards used to guide policy decisions.

This role sits at the intersection of generative machine learning, statistical inference, geospatial analytics, and dynamical modelling — with a growing emphasis on adapting tools for new geographies and near-elimination contexts. It offers the opportunity to contribute to high-impact, policy-driven research while developing and deploying open-source tools that shape how malaria is tracked and tackled across sub-Saharan Africa.

**What you would be doing**:
You will design, implement and evaluate statistical and machine learning models that translate ANC malaria data into actionable estimates of transmission intensity and burden. This will include working with time-series and geospatial data, adapting existing modelling pipelines, and contributing to the development of new approaches for low-transmission and elimination settings.

Key Responsibilities
- Support integration of model outputs into NMCP dashboards and workflows
- Liaise with country partners to guide model adaptation and respond to programmatic needs
- Extend tools to new settings and geographies as ANC screening expands
- Contribute to open-source software development and publication of findings
- Travel internationally to support implementation and stakeholder engagement
- Contribute to the supervision of junior researchers and students as opportunities arise

**What we are looking for**:

- A PhD in a relevant quantitative discipline (e.g. mathematical modelling, geo-statistics, machine-learning)
- Strong coding skills (e.g. in R, Python, or C++) and familiarity with collaborative software development
- Can work independently while contributing to a collaborative, cross-disciplinary team
- Able to communicate technical ideas clearly to both technical and non-technical partners
- Proactive, adaptable, and able to respond rapidly to the evolving needs of partners navigating a period of uncertainty, while also contributing to the development of robust, maintainable tools that support long-term surveillance capacity
- Committed to scientific rigour, open science, and improving health equity through data-driven approaches

**What we can offer you**:

- The opportunity to contribute to a high-impact project at the forefront of global malaria surveillance innovation
- A central role within a collaborative, interdisciplinary team working closely with national malaria programmes and global partners
- Access to rich, policy-relevant datasets and established platforms (e.g. DHIS2) already integrated with national systems
- Career development support, mentoring, and the chance to co-author high-impact publications and open-source tools
- A world-class research environment at Imperial College London, with flexible working policies and sector-leading support for researchers
- Sector-leading salary and benefits package, including 39 days annual leave, generous pension contributions
- A welcoming, diverse and inclusive workplace culture with access to a wide range of staff wellbeing and development resources

**Further information**:
**Available documents**:

- Attached documents are available under links. Clicking a document link will initialize its download.- Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

**About Imperial**:
Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.