Modeller and Data Scientist

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## Position details

## Vacancy
Vacancy referenceVAC-0422Job titleModeller and Data ScientistDepartmentEpidemiology and Data ScienceLocationOslo / LondonClose date1/4/2026
## Job description
About CEPI
Launched in 2017, the Coalition for Epidemic Preparedness Innovations (CEPI) is an international coalition of governments, academic, philanthropic, private, public, and intergovernmental institutions whose vision is to create a world in which epidemics and pandemics are no longer a threat to humanity. Our mission is to accelerate the development of vaccines and other biologic countermeasures against epidemic and pandemic threats so they can be accessible to all people in need. CEPI played a central role in the global response to COVID-19, creating the world’s largest portfolio of COVID-19 vaccines – seven of which are approved for global or domestic use - and co-leading COVAX, the global initiative to support equitable access which supported the delivery of over 2bn vaccine doses globally. CEPI has contributed to a number of scientific breakthroughs in vaccine development against other infectious diseases, including the first ever licensed Chikungunya vaccine and the first Nipah and Lassa virus vaccines into Phase 1 trials.

As COVID-19 has demonstrated, emerging infectious diseases represent an existential threat to our way of life. COVID-19 is not the first pandemic of the 21st century, and unless we act now, we can be sure that it will not be the last. Unlike some of the other big threats that humanity faces, we have the tools to systematically reduce and even eliminate the risk of future pandemics. It is vital that we capitalise on the rare alignment of political will, practical experience, and technical and scientific progress emerging from the pandemic to prevent such devastation happening again. CEPI’s five-year plan for 2022-2026 – known as CEPI 2.0 - aims to dramatically reduce or even eliminate the future risk of pandemics and epidemics. Central to the plan is CEPI’s goal to accelerate the time taken to develop safe, effective, globally accessible vaccines against new threats to just 100 days. Achieving this ‘100 Days Mission’, which has been embraced by the G7 and G20, would give the world a fighting chance of containing a future outbreak before it can spread to become a global pandemic, potentially averting millions of deaths and trillions of dollars in economic damage.

CEPI is a not-for-profit association under Norwegian Law and has offices in Oslo (HQ), London, and Washington DC.

In CEPI we strive for diverse thinking, and we want a diverse pool of candidates for all our vacancies. We work for an inclusive working environment where each employee can contribute and grow.

More details about CEPI and our mission can be found on our website: www.cepi.net

About the role
CEPI is seeking a skilled Modeller and Data Scientist to join our team for a **12-month full-time fixed-term contract**. The candidate will have expertise in various data analysis techniques (e.g. mathematical, statistical, epidemiological), infectious diseases and emerging pathogens. The role will be part of the Epidemiology and Data Sciences (E&DS) department within the R&D division. The E&DS department supports CEPI, its partners and stakeholders by bridging key epidemiological knowledge gaps to advance vaccine development, strengthen outbreak preparedness, and support achievement of CEPI’s 100 Days Mission.  

The role strengthens CEPI’s in-house analytical capacity and supports delivery of the Data Science and Advanced Analysis strategy. It provides core modelling and data support needed to advance CEPI’s vaccine candidate portfolio for priority pathogens and to contribute to CEPI’s preparedness and emergency response plans. The postholder will help maintain in-house rapid-response modelling capability, ensure continuity of evidence generation to support vaccine R&D, and reinforce CEPI’s global partnerships. The role requires someone who is proactive, self-sufficient, and able to work effectively within a cross-functional team as well as independently.

We are looking for candidates who bring a strong quantitative background with an advanced degree (MSc or newly qualified PhD) in data science, mathematical modelling, infectious disease epidemiology, computer science, biostatistics or a closely related field. They should have at least three years of relevant experience and be prepared to work in a matrixed, cross-functional environment. The ideal candidate will have solid skills in applied quantitative analysis, including statistical methods, mathematical modelling, and introductory machine learning, and experience in outbreak analytics or epidemiological forecasting. Competency in R alongside Git and Github is essential, with either working knowledge of Python or a clear willingness to learn.

The post-holder will report directly to the Head of Data Science and Advanced Analysis and work closely with members of the team as well as collaborate across the Epidemiology and Data Science department.

Responsibilities
Rapid Response Modelling

• Prepare and clean surveillance, genomic, and outbreak datasets early, using best judgement to anticipate what will be needed for modelling. This includes running preliminary analyses or engaging relevant country modellers ahead of formal requests.
• With departmental input, define quantitative thresholds for triggering CEPIs outbreak response
• Maintain version control and documentation for CEPI’s model repository, ensuring workflows remain up to date and ready for rapid activation.
• Run validated and documented model templates under supervision and provide timely outputs that support outbreak forecasts, scenario analysis, and rapid risk assessments
• Contribute to the design, execution, and reporting of simulation exercises by proactively identifying gaps, making improvements, and providing required inputs.
• Summarise model outputs for internal briefs, dashboards, and decision documents, and surface key insights without waiting for prompts.
Knowledge and Evidence Generation

• Compile disease burden, stockpile, and vaccine-impact data for forecasting, portfolio planning, and CEPI’s 100 Days Mission metrics.
• Conduct basic statistical analyses and produce clear visual outputs in R or Python.
• Support the development, testing, and documentation of AI and predictive modelling pipelines.
• Contribute to evidence summaries, technical notes, and rapid analyses for R&D (i.e. RDP, Clinical Development, Regulatory) and other internal stakeholders
Strategic Modelling Partnerships

• Provide analytical and coordination support to CEPI’s modelling network and regional modelling partners including Africa CDC, PAHO, ICMR, and other networks.
• Prepare partner data templates, manage collaborative workspaces, and ensure quality control of shared datasets.
• Track outputs from regional outbreak modelling exercises and consolidate lessons learned.
• Support monitoring and evaluation for modelling partnerships.
• Contribute to external engagement through slide preparation, meeting coordination, and drafting policy briefs.
• Help strengthen the visibility of CEPI’s modelling partnerships and connect internal teams with regional networks.
Cross-Functional and Internal Support

• Support delivery of the DSAA and E&DS strategy with analytical inputs and operational support.
• Provide disease-specific analyses for priority pathogens including Lassa, Chikungunya, H5N1, RVF, SARS-CoV-2, and novel pathogens.
• Support CEPI’s supply-chain and vaccine deployment modelling initiatives.
• Assist with CEPI’s climate-health analytical work, where relevant.
• Participate in internal emergency response structures and provide modelling support when required.
• Contribute to internal and external workshops designed to strengthen predictive modelling capacity and shape future DSAA plans.
• Perform other duties that support the smooth functioning of the DSAA ...

## .

## Position details

## Vacancy
Vacancy referenceVAC-0422Job titleModeller and Data ScientistDepartmentEpidemiology and Data ScienceLocationOslo / LondonClose date1/4/2026
## Job description
About CEPI
Launched in 2017, the Coalition for Epidemic Preparedness Innovations (CEPI) is an international coalition of governments, academic, philanthropic, private, public, and intergovernmental institutions whose vision is to create a world in which epidemics and pandemics are no longer a threat to humanity. Our mission is to accelerate the development of vaccines and other biologic countermeasures against epidemic and pandemic threats so they can be accessible to all people in need. CEPI played a central role in the global response to COVID-19, creating the world’s largest portfolio of COVID-19 vaccines – seven of which are approved for global or domestic use - and co-leading COVAX, the global initiative to support equitable access which supported the delivery of over 2bn vaccine doses globally. CEPI has contributed to a number of scientific breakthroughs in vaccine development against other infectious diseases, including the first ever licensed Chikungunya vaccine and the first Nipah and Lassa virus vaccines into Phase 1 trials.

As COVID-19 has demonstrated, emerging infectious diseases represent an existential threat to our way of life. COVID-19 is not the first pandemic of the 21st century, and unless we act now, we can be sure that it will not be the last. Unlike some of the other big threats that humanity faces, we have the tools to systematically reduce and even eliminate the risk of future pandemics. It is vital that we capitalise on the rare alignment of political will, practical experience, and technical and scientific progress emerging from the pandemic to prevent such devastation happening again. CEPI’s five-year plan for 2022-2026 – known as CEPI 2.0 - aims to dramatically reduce or even eliminate the future risk of pandemics and epidemics. Central to the plan is CEPI’s goal to accelerate the time taken to develop safe, effective, globally accessible vaccines against new threats to just 100 days. Achieving this ‘100 Days Mission’, which has been embraced by the G7 and G20, would give the world a fighting chance of containing a future outbreak before it can spread to become a global pandemic, potentially averting millions of deaths and trillions of dollars in economic damage.

CEPI is a not-for-profit association under Norwegian Law and has offices in Oslo (HQ), London, and Washington DC.

In CEPI we strive for diverse thinking, and we want a diverse pool of candidates for all our vacancies. We work for an inclusive working environment where each employee can contribute and grow.

More details about CEPI and our mission can be found on our website: www.cepi.net

About the role
CEPI is seeking a skilled Modeller and Data Scientist to join our team for a **12-month full-time fixed-term contract**. The candidate will have expertise in various data analysis techniques (e.g. mathematical, statistical, epidemiological), infectious diseases and emerging pathogens. The role will be part of the Epidemiology and Data Sciences (E&DS) department within the R&D division. The E&DS department supports CEPI, its partners and stakeholders by bridging key epidemiological knowledge gaps to advance vaccine development, strengthen outbreak preparedness, and support achievement of CEPI’s 100 Days Mission.  

The role strengthens CEPI’s in-house analytical capacity and supports delivery of the Data Science and Advanced Analysis strategy. It provides core modelling and data support needed to advance CEPI’s vaccine candidate portfolio for priority pathogens and to contribute to CEPI’s preparedness and emergency response plans. The postholder will help maintain in-house rapid-response modelling capability, ensure continuity of evidence generation to support vaccine R&D, and reinforce CEPI’s global partnerships. The role requires someone who is proactive, self-sufficient, and able to work effectively within a cross-functional team as well as independently.

We are looking for candidates who bring a strong quantitative background with an advanced degree (MSc or newly qualified PhD) in data science, mathematical modelling, infectious disease epidemiology, computer science, biostatistics or a closely related field. They should have at least three years of relevant experience and be prepared to work in a matrixed, cross-functional environment. The ideal candidate will have solid skills in applied quantitative analysis, including statistical methods, mathematical modelling, and introductory machine learning, and experience in outbreak analytics or epidemiological forecasting. Competency in R alongside Git and Github is essential, with either working knowledge of Python or a clear willingness to learn.

The post-holder will report directly to the Head of Data Science and Advanced Analysis and work closely with members of the team as well as collaborate across the Epidemiology and Data Science department.

Responsibilities
Rapid Response Modelling

• Prepare and clean surveillance, genomic, and outbreak datasets early, using best judgement to anticipate what will be needed for modelling. This includes running preliminary analyses or engaging relevant country modellers ahead of formal requests.
• With departmental input, define quantitative thresholds for triggering CEPIs outbreak response
• Maintain version control and documentation for CEPI’s model repository, ensuring workflows remain up to date and ready for rapid activation.
• Run validated and documented model templates under supervision and provide timely outputs that support outbreak forecasts, scenario analysis, and rapid risk assessments
• Contribute to the design, execution, and reporting of simulation exercises by proactively identifying gaps, making improvements, and providing required inputs.
• Summarise model outputs for internal briefs, dashboards, and decision documents, and surface key insights without waiting for prompts.
Knowledge and Evidence Generation

• Compile disease burden, stockpile, and vaccine-impact data for forecasting, portfolio planning, and CEPI’s 100 Days Mission metrics.
• Conduct basic statistical analyses and produce clear visual outputs in R or Python.
• Support the development, testing, and documentation of AI and predictive modelling pipelines.
• Contribute to evidence summaries, technical notes, and rapid analyses for R&D (i.e. RDP, Clinical Development, Regulatory) and other internal stakeholders
Strategic Modelling Partnerships

• Provide analytical and coordination support to CEPI’s modelling network and regional modelling partners including Africa CDC, PAHO, ICMR, and other networks.
• Prepare partner data templates, manage collaborative workspaces, and ensure quality control of shared datasets.
• Track outputs from regional outbreak modelling exercises and consolidate lessons learned.
• Support monitoring and evaluation for modelling partnerships.
• Contribute to external engagement through slide preparation, meeting coordination, and drafting policy briefs.
• Help strengthen the visibility of CEPI’s modelling partnerships and connect internal teams with regional networks.
Cross-Functional and Internal Support

• Support delivery of the DSAA and E&DS strategy with analytical inputs and operational support.
• Provide disease-specific analyses for priority pathogens including Lassa, Chikungunya, H5N1, RVF, SARS-CoV-2, and novel pathogens.
• Support CEPI’s supply-chain and vaccine deployment modelling initiatives.
• Assist with CEPI’s climate-health analytical work, where relevant.
• Participate in internal emergency response structures and provide modelling support when required.
• Contribute to internal and external workshops designed to strengthen predictive modelling capacity and shape future DSAA plans.
• Perform other duties that support the smooth functioning of the DSAA ...