Leidos has an opening for a Quantitative Analyst/Modeler for a critical project on C Street SW in Washington DC.
The Analyst will design and analyze mathematical models for CBRN, influenza, and emerging infectious disease. Modeling will focus on public health response and medical countermeasure mitigation. Analyst will independently investigate problems that have been recognized as being difficult to solve and require the sophistication, creativity, and judgment of an established and competent scientist. The position will require significant interaction with cross-functional teams of subject matter experts in non-quantitative fields. Experience with epidemiological modeling and analysis preferred.
Review CBRN and emerging infectious disease impacts against the US civilian population and design mathematical models appropriate to the policy questions asked.
Review external models, risk assessments, research data and studies and provide critiques and suggestions for application or improvements.
Review and analyze data from research studies and develop reports and conclusions based on the data. Make recommendations regarding areas of modeling and analysis needed in specific CBRN/disease program areas.
Create new CBRN models using existing Java APIs. This effort could include implementing existing mathematical models in a new framework or working with subject-matter experts to design a unique model for a tailored application.
Create models of the treatment effect of a novel countermeasure with the goal of predicting both the reduction in mortality / morbidity as well as reduction in cost of care. This effort could include literature review of the cost of care, existing care and treatments, and potential mitigation of the new countermeasure. The estimate of potential mitigation could involve statistical analysis of the collected data and creating a mathematical model of how it would translate into real-world human effects.
Minimum Required Qualifications:
Candidate must be eligible to work in the United States without sponsorship; candidate with an active DoD Secret clearance is preferred.
BS in relevant discipline with 8+ yrs relevant experience OR MS in relevant discipline with 6+ yrs relevant experience OR PhD with 4+ yrs relevant work experience.
Expertise in mathematics, probability and statistics, stochastic models, CBRN and health effects, epidemiology, avian/pandemic influenza and/or related sciences
Experience in a compiled OOP language (Java programming is considered a strong plus)
Experience with scientific or mathematical software or programming particularly R or Python
Excellent communication skills with the ability to successfully interact with supervisors, functional peer groups, and/or outside customers
Active DoD Secret clearance
Prior experience with and knowledge of data analytics, quantitative algorithms for prediction and machine learning
Knowledge of statistics, disease transmission modeling, systems dynamics modeling, data analytics, bioinformatics, health economics and/or economic modeling.
On-site commitment to providing this expertise in a fast-paced, rapidly changing environment