Leidos has an opening for a Data Modeler for a critical project on C Street SW inWashington DC. This position requires a candidate who is eligible for aDoD Secret clearance; a candidate with an active DoD Secret clearance ispreferred.
The Analyst will design and analyzemathematical models for CBRN, influenza, and emerging infectious disease.Modeling will focus on public health response and medical countermeasuremitigation. Analyst will independently investigate problems which have beenrecognized as being difficult to solve and require the sophistication,creativity, and judgment of an established and competent scientist.
Theposition will require significant interaction with cross-functional teams ofsubject matter experts in non-quantitative fields. Preference forepidemiological modeling and analysis preferred.
Review CBRN and emerging infectiousdisease impacts against the US civilian population and design mathematicalmodels appropriate to the policy questions asked.
Review external models, riskassessments, research data and studies and provide critiques and suggestionsfor application or improvements.
Review and analyze data fromresearch studies and develop reports and conclusions based on the data. Makerecommendations regarding areas of modeling and analysis needed in specificCBRN/disease program areas.
Create new CBRN models using pre-existingJava APIs. This effort could be to implement existing mathematical models in anew framework or to work with subject-matter experts to design a unique modelfor a tailored application.
Create a model of the treatmenteffect of a novel countermeasure with the goal of predicting both the reductionin mortality / morbidity as well as reduction in cost of care.
This effortwould include literature review of the cost of care, existing care andtreatments, and potential mitigation of the new countermeasure.
Candidate must be eligible for a DoD Secret clearance.
BS in relevant discipline with 4+ yrs relevant experience OR MS in relevant discipline with 2+ yrs relevant experience OR PhD with 1+ 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)
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 Knowledge Data Analytics, quantitative algorithms for prediction and Machine Learning/AI
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 changingenvironment
Grounding in physics or engineeringto provide subject matter expertise and insight in sensors and devices
Leidos is a global science and technology solutions leader working to solve the world's toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers.
Headquartered in Reston, Virginia, Leidos reported pro forma annual revenues of approximately $10 billion for the fiscal year ended January 1, 2016 after giving effect to the recently completed combination of Leidos with Lockheed Martin's Information Systems & Global Solutions business (IS&GS). For more information, visit www.Leidos.com. The company's diverse employees support vital missions for government and commercial customers. Qualified women, minorities, individuals with disabilities and protected veterans are encouraged to apply.
Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an Equal Opportunity Employer.