Leidos is seeking a Quantitative Analyst/Modeler who is available to work on-site in Washington D.C.
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 or develop techniques and procedures which 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. Preference for 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.
BS and 8+ years of relevant work experience OR MS and 6+ years of relevant work experience OR PhD and 4+ years of relevant work experience
Ability to use expertise in one or more of the following areas: mathematics and statistics, CBRN and health effects, epidemiology, avian/pandemic influenza, other related sciences.
Experience with scientific or mathematical software or programming.
Excellent communication skills with the ability to successfully interact with supervisors, functional peer groups, and/or outside customers.
Additional Desired Qualifications
Design of analytic tools
Knowledge of basic programming (experience coding a model in Java or R)
Knowledge of disease transmission modeling
Systems dynamics modeling
Health economics amp; economic modeling