Description
Chase your aspirations with no boundaries at Leidos! Accelerate your career growth by joining Leidos.
Leidos has an opening for a Senior Quantitative Analyst for a project supporting HHS in Washington DC. Be part of a team performing a broad and ever-changing array of mathematical modeling, simulation, and data science projects supporting national health preparedness.
You will work as part of a multi-disciplinary team conducting a broad range of quantitative analyses. Examples of such efforts include: developing new forecasting techniques for infectious disease; continuing development of existing agent-based modeling software framework; healthcare cost-benefit analyses; economic impact analyses; data exploration; constructing visualization of large and complex data; epidemiological analyses of infectious diseases; as well as statistical analyses of clinical trial data. Analyses and modeling will focus on public health response and medical countermeasure mitigation.
The analyst will work as both part of a team on large-scale analyses as well as independently investigate problems. Many of these efforts have been recognized as being difficult to solve and require the sophistication, creativity, and judgment of an established and competent data scientist. The position will require significant interaction with cross-functional teams of subject matter experts in non-quantitative fields, so communication skills are key to help understand the analysis needs as well as to brief the methodology and outcomes.
Telecommuting– Up to 100%. Preference for those local to Washington DC and able to take part in occasional on-site events.
Primary Responsibilities
- Working with customer to refine a problem and translate into something that can be answered with a model and the available data
- Developing in and extending an agent-based framework to support infectious disease and other response activities
- Guiding colleagues through an analytic process, often in situations with high uncertainty and/or limited data
- Performing ad-hoc analyses on existing data
- Performing novel statistical analyses of clinical trial results
- Performing the entire lifecycle of analysis: problem formulation, data acquisition, data cleaning, analysis, and presentation
Basic Qualifications
- MS in relevant discipline with 6+ years relevant experience OR PhD in relevant discipline with 2+ years relevant experience
- U.S Citizenship; Currently possess an active DoD Secret Clearance or ability to obtain/maintain upon hire.
- Expertise in mathematics, probability and statistics, data science
- Experience with scientific or mathematical software or programming; particularly R or other scripting language (e.g. Python, MATLAB, or Mathematica)
- Experience developing software in an object-oriented programming 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
- Demonstrated ability to quickly learn new mathematical, statistical, and computational techniques, as well as new subject areas (epidemiology, virology, radiation injury, etc)
Preferred Qualifications
- Subject matter knowledge of quantitative epidemiology, avian/pandemic influenza, and/or related sciences
- Subject matter knowledge of CBRN effects, risks
Original Posting Date: 2024-10-08
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range: Pay Range $101,400.00 - $183,300.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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