Job Number: R0196682

Computational Modeling Specialist The Opportunity: Join our dynamic team as an Infectious Disease Modeler, where you will be at the forefront of shaping responses to complex public health challenges. In this pivotal role, you won't merely be a participant, you will be the driving force behind innovation and be an expert in problem-solving. Your work will transcend boundaries, unraveling the intricacies of disease transmission to enable proactive responses to human epidemic disease outbreaks. In the realm of public health, where each decision carries profound consequences for the well-being of communities and nations, your skills will serve as the key to unlocking actionable insights from data. Our mission is unwavering: to advance public health response, forecasting, and surveillance. As part of our team, you will be entrusted with the critical task of translating data into real-time and effective decision-making insights, enabling public health agencies to craft strategies that protect lives and ensure the resilience of our society.

Join us. The world can't wait.

You Have: * Experience with stochastic computational modeling, data science, and machine learning applied to disease forecasting * Experience in the development and implementation of advanced disease transmission models, including compartmental models, agent-based models, and renewal models, with a goal of nowcasting, forecasting, biological inference, and scenario exploration * Experience with programming languages, including Julia, Python, or R, and probabilistic programming packages, including Turing.jl, Numpy, JAX, Numpyro, and Stan for Bayesian inference, computational modeling efficiency, parameter estimation, and model validation * Experience with continuous integration (CI) and continuous deployment (CD) pipelines for efficient code deployment * Experience with presenting complex technical concepts to diverse audiences, including nontechnical stakeholders * Experience in scientific computing and high-performance computing (HPC), demonstrating proficiency in designing and implementing complex simulations and data-intensive computations on distributed computing architectures * Knowledge of code management standards, best practices, team coding, and version control systems, including GitHub * Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements * Master's degree in Mathematics, Epidemiology, or Computational Statistics

Nice If You Have: * Experience with Azure Batch or cloud-based computational platforms for scalable and parallelized data processing and modeling tasks * Ability to produce clear and comprehensive technical documentation, including within an automated pipeline deployment * Ability to work effectively within multidisciplinary teams, including data scientists, epidemiologists, and mathematicians * Possession of excellent verbal and written communication skills * Possession of excellent collaborative skills * Doctorate degree in Mathematics, Epidemiology, or Computational Statistics

Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Create Your Career:

Grow With Us Your growth matters to us-that's why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like , tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.

A Place Where You Belong Diverse perspectives cultivate collective ingenuity.  means that, here, you are free to bring your whole self to work. With an array of business... For full info follow application link.

We are proud of our diverse environment. EOE,M/F/Disability/Vet.