Senior Modeler

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

We are currently seeking a Senior Modeler to support the DHS Chemical Security Analysis Center (CSAC). This position is located at the Aberdeen Providing Grounds in Edgewood MD.

Battelle’s Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Defense business line, in our National Security business unit, is currently seeking persons with knowledge of and experience in hazard prediction modeling and consequence analysis. CSAC is a DHS S&T element which provides scientific basis for the awareness of chemical threats and the attribution of their use against the American public. The CSAC Hazard Modeling Team provides government and private sector customers with technical analyses as well as modeling capabilities to inform their preparedness and response planning efforts to mitigate risk to the United States or their company.

MAJOR RESPONSIBILITIES

• Supports modeling & simulation development activities concerning inhalation, ingestion, and dermal exposure hazards, response to chemical events, and decision support.
• Performs population threat assessments and hazard assessments with focus on outdoor transport and dispersion modeling (to include urban dispersion modeling), indoor modeling, food hazard assessment and water distribution hazard assessment.
• Provides hazard prediction modeling support to CSAC and stakeholder, including time-sensitive technical Reachback support. 
• Leads, plans and conducts major technical projects or major phases of significant technical projects, coordinating the efforts of technical support staff
• Prepares for and presents at scientific conferences and increases CSAC visibility through publications.
• Builds relationships with external stakeholders. Manages meetings and consults with stakeholders on long-term research programs.
• Performs rigorous mathematical and statistical analysis on large data sets.
• Collects, reduces, processes, and presents modeling input and output data.
• Writes reports of methods used and results obtained.
• Mentors and provides work assignments to junior modelers and analysts.

THE FOLLOWING IS REQUIRED

• Bachelor’s degree and 10+ years of experience (or Master’s degree and 8+ years of experience or PhD and 5+ years of experience) in Modeling; Statistical Analysis; Computer Science or Computer Science Engineering; or Operations Research Analysis.
• 5-10+ years of experience in hazard prediction modeling and consequence analysis, mathematical modeling, statistical analysis, data science, or related field.
• 5+ years of experience managing and leading both individuals and teams,
• Experience using atmospheric transport & dispersion models (including urban and complex terrain dispersion modeling) and multi-zone indoor modeling for conducting chemical hazard consequence assessments.
• Ability to learn and understand new modeling platforms and mathematical concepts.
• Active Secret Clearance and ability to obtain Top Secret

THE FOLLOWING IS DESIRED

• Experience in toxicology and the biologically based mathematical methodologies applied in toxicological analysis such as Physiologically-based pharmacokinetic/ pharmacodynamics (PBPK/PD) models. 
• Experience with computational fluid dynamics (CFD) code, with particular emphasize on air flow and vapor cloud dispersion around complex terrain/structures
• Experience in the use of geographic information system (GIS) data and software tools such as ESRI’s ArcGIS
• Experience with mathematical/statistic tools such as Matlab, LabVIEW, Mathcad, Mathematica.
• Experience with relational databases such as MS SQL, Microsoft Access, MySQL, etc. to support the development of knowledge management (e.g. databases) and collaboration applications.
• Design and develop graphical user interfaces for mathematical and/or analytical tools.
• Experience with advanced data analysis techniques, such as machine learning, artificial intelligence, or natural language processing.
• Experience deploying software on DoD classified systems (Secret and/or TS/SCI)