Jobs at National Disease Modelling Consortium

The selected candidate will contribute to one or more the following areas:

Develop and apply mathematical and statistical models (for example, differential equations, stochastic processes, and agent-based models) to address core research questions towards infectious disease dynamics.
Analyze disease surveillance data to inform prevention and control strategies
Collaborate with interdisciplinary teams to design and evaluate public health interventions.
Support evidence-based decision-making through analysis of epidemiological and demographic data.
Contribute to the development and maintenance of open-source tools for disease modeling.
Publish findings in peer-reviewed journals and present at national and international conferences.
Perform additional duties as assigned.

This is a leadership position involving effective mentoring of junior modellers, with initiative & independence, to achieve desired results.
The candidate will play a key role in designing, developing, and interpreting models for infectious diseases, while mentoring junior team members.
Collaborate closely with faculty members, epidemiologists, clinicians, and data scientists.
Interact with program representatives to identify relevant questions for modelling.
Analyse and interpret complex epidemiological and health systems data.
Present modelling work to relevant stakeholders on behalf of NDMC.
Contribute to policy briefs, reports, and peer-reviewed publications.

Develop and apply mathematical and statistical models (e.g., compartmental, stochastic, and individual-based models) to address key research questions in tuberculosis (TB) transmission, diagnosis, treatment, and prevention
Analyse TB surveillance, programme, and epidemiological data to generate evidence for TB control strategies in India.
Design and evaluate the impact of interventions, including active case finding, preventive therapy, diagnostics, treatment strategies, and health system approaches.
Collaborate with epidemiologists, clinicians, public health experts, and government programme teams to answer policy-relevant questions.
Develop, validate, and maintain open-source tools and modelling frameworks for TB research and policy analysis.
Translate modelling outputs into technical reports, policy briefs, and recommendations for government and other stakeholders.
Contribute to capacity building and mentorship within the TB modelling research team.
Perform additional duties as assigned.

Interface with consultant management, the Secretariat head, PI, Co-PI, and other stakeholders to ensure effective communication and collaboration throughout the project lifecycle.
Actively participate in project outreach activities to promote project objectives and engage with relevant stakeholders.
Oversee day-to-day operational activities of the project, ensuring smooth execution and adherence to project timelines and deliverables.
Assist in the organization and management of project activities, including workshops, events,and meetings.
Coordinate and arrange meetings between faculty investigators, partners, and ministry officials to facilitate collaboration and decision-making
Serve as the primary point of contact for the consortium on all project management matters, addressing inquiries and providing support as needed.
Assist in project report writing and collation of information, ensuring accuracy and completeness of project documentation.
The required person would also assist in the technical part of the project.

A background in TB epidemiology or programme would get preference.

The selected candidate will contribute to one or more the following areas:

Analyze disease surveillance data to inform prevention and control strategies.
Estimate disease burden and its contributing factors using advanced statistical techniques and large-scale datasets.
Develop and apply mathematical and statistical models to understand infectious disease dynamics.
Collaborate with interdisciplinary teams to design and evaluate public health interventions.
Support evidence-based decision-making through analysis of epidemiological and demographic data.
Contribute to the development and maintenance of open-source tools for disease modeling and burden estimation.
Analyze cost data from varied sources, including but not limited to administrative, existing literature, and clinical trials.
Model healthcare costs and expenditures using econometric and statistical models.
Decision modelling involving the construction and analysis of decision trees, and designing Markov models.
Publish findings in peer-reviewed journals and present at national and international conferences.
Perform additional duties as assigned.

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