Scientific Programmer

Xator Corporation

Why work for us?

Join a dedicated team of scientists and software developers responsible for developing, integrating, and maintaining an atmospheric model for simulating the release of materials to the atmosphere and their associated dispersion using weather forecasts. Be the scientific programmer who is responsible for developing physics-based algorithms as part of a multi-company team collaboration. Become a key team member for developing and implementing changes to a complex software product for a Department of Defense (DoD) agency that involves problem-solving science and software issues. Work side by side with scientists and software engineers who are experts in their field, at an office park in a residential neighborhood within the Washington DC metropolitan area. The technical focus includes atmospheric dispersion modeling, visualization, and integration with other systems. The work is fast-paced, provides excitement, challenges, and opportunities to learn in many disciplines.

This is a full-time position with the opportunity to transition to other software integration projects. The selected individual will work as an integral member of a team and will be responsible for implementing and developing physics-based algorithms using Java, C++, Fortran, and distributed framework technologies as part of a collaborative effort. This is a junior to mid-level opportunity for a scientific programmer to expand their areas of experience.

Basic Requirements

· US Citizenship with the ability to obtain a security clearance

· M.S. degree or higher in mathematics, physics, chemistry, engineering, or related field

· Three (3) or more years of work experience in using the Java and C++ object-oriented programming language

· Demonstrated strong ability to work independently in a self-directed environment

· Solid verbal and written communication skills

Preferred Requirements

· Active Secret clearance desired but not required

· Experience in developing, modifying, and using scientific software

· Experience with Java IDE’s such as Eclipse, IntelliJ IDEA, NetBeans, and JavaFX GUI development desired but not required

· Experience in Python, Ruby, and JavaScript

· Experience with MATLAB and machine learning tools desired but not required

· Experience in using version control software such as Git, Mercurial, or Subversion

· Experience in developing software in FORTRAN is a plus

Sound Good?

Xator understands that it takes more than competitive salaries to attract and retain the best employees – they deserve solid, sustainable benefits, too. In addition to offering competitive salaries that are commensurate with education and experience, Xator offers a comprehensive benefits package with options our employees can tailor to fit the way they live. This includes:

· Comprehensive medical, dental and vision insurance policies;

· Company paid Life, AD&D, Short Term Disability and Long-Term Disability insurance policies;

· Company-sponsored 401(k) retirement plan with automatic company contributions and no vesting period;

· Generous Paid Time Off (PTO) programs to help you balance your work and family life

· Tuition Assistance for job-related education/ training courses

Our employees have found that their efforts can have a direct impact on company growth and often leads to increased job satisfaction, organizational commitment, motivation, and a strong sense of teamwork. Complete and current descriptions of these benefits may be found in the appropriate plan documents you’ll receive when you’re offered a job.

Xator prides itself on its exceptional reputation, long existence, and stability, as well as our commitment to our employees. It is this commitment to personnel and their involvement in the company that has enabled Xator to acquire and retain a cadre of personnel with scientific, technical, and computer programming expertise. A brief summary of Xator’s technical capabilities is available on our company web site www.xatorcorp.com. Interested individuals are invited to submit their resume in confidence at www.xatorcorp.com/careers.

Xator Corporation provides equal opportunity to all applicants for employment as required by and/or consistent with applicable country law and company policy. Consistent with the foregoing, Xator Corporation provides qualified applicants consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veterans’ status, citizenship, sexual orientation, gender identity or any other status(s) protected by law. In the United States, Xator Corporation ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act of 1964.

The Engineering and Analysis Solutions (EAS) business unit of Xator serves a wide range of customers within the Intelligence Community (IC) and Department of Defense (DoD). Within its portfolio, EAS supports the DoD Countering Weapons of Mass Destruction (CWMD) mission that falls under Xator’s Critical Infrastructure Protection service area. This includes developing Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) solutions. One such solution is the Hazard Prediction and Assessment Capability (HPAC) software tool that is supported by its Scientific Solutions Division.

This tool provides emergency response assistance for events involving weapons of mass destruction or catastrophic incidents that unleash chemical, biological, or nuclear material into the atmosphere. HPAC can also be used to model the collateral effects of concern that may result from military or industrial accidents. HPAC models and predicts human collateral damage for events involving the intentional or unintentional release of chemical, biological, or nuclear materials into the atmosphere or enclosed space.

What sets HPAC apart from the competition is the speed at which it runs. HPAC provides modeling results to decision-makers through high-resolution imagery and street maps with critical infrastructure locations and points of interest. Utilizing real-time weather data through Meteorological Data Servers (MDS) modeling and hazard prediction is available to analysts and first responders in minutes and can be run in the field on a laptop computer.

HPAC provides a suite of models for simulating the release of CBRNE materials to the atmosphere and their associated dispersion using detailed meteorological information. These predictions are used to estimate the effects of these CBRNE agents on the physical environment, and to a lesser extent, the resulting impact of that release on an exposed population. HPAC has the capability to describe the transport/dispersion of hazardous materials through the atmosphere due to attacks or accidents resulting in radiological, chemical or biological releases. HPAC uses information on the material source, amount released into the atmosphere, high- UNCLASSIFIED UNCLASSIFIED 2 resolution weather forecasts, and particulate transport to model the hazard areas produced by such events.

As an example, an HPAC prediction is shown in Figure 1 for a hypothetical scenario of an extreme accidental explosion at a chemical plant in a rural area that causes a release of a hazardous agent into the atmosphere. For this scenario, HPAC predicts over a 12-hour period that 4 people are at 50% risk of death within the red zone, 6 are at 50% risk of injury (casualty) within the orange zone, and 16 are at 10% risk of injury within the orange zone.

Figure 1. HPAC prediction for a hypothetical chemical plant accident releasing a hazardous agent.

HPAC produces such results within minutes by modeling the atmospheric transport and dispersion of these CBRNE events as a series of Gaussian puffs to represent the space and time-varying concentrations of the materials (Figure 2). This Secondorder Closure Integrated Puff (SCIPUFF) model within HPAC provides a highly efficient and accurate prediction for a wide range of hazard scenarios that are applicable from distance ranges of meters or less up to world coverage. HPAC also has the capability to simulate the release of agents within a city environment using the Urban Dispersion Model (UDM) and Micro Swift/Spray (MSS) model that accounts for individual buildings and weather channeling effects; as well as make predictions for the seepage in/out of buildings, plus releases initiating inside a building, with the Urban Sub-system (USS) model. UNCLASSIFIED UNCLASSIFIED 3

Figure 2. Visualization of Gaussian puffs produced by HPAC using the HPAC Analyst tool (Credit: Steven Schneider, Xator Corp.)

HPAC is actively used and supported by DTRA/SCC-WMD Reachback in Ft. Belvoir, Virginia to serve military personnel, federal agencies and interagency partners following an event involving weapons of mass destruction or a natural disaster that unleashes any chemical, biological, radiological, nuclear, and high yield explosive event that is atmospheric in nature. Technical Reachback provides 24 hours a day, 365 days a year support and assistance where customers can contact experts to provide “up to the minute” analysis on the full spectrum of Weapon of Mass Destruction (WMD) threats, answering all questions, predicting outcomes and planning for worst-case-scenarios. This includes web portal services that are available as a secure web-based tool for state and federal inter-agencies to request Technical Reachback support.

With a large number of requests for information received each year, there is a strong need for enhanced and new prediction and analysis capabilities in HPAC that drives continuous development and support of this modeling tool. A need for which EAS software developers and scientists have already provided vital support for decades since the original creation of SCIPUFF in the early 1980s. EAS is currently helping DTRA to transition new capabilities into HPAC, as well as transition HPAC’s capabilities into the Joint Effects Model (JEM) a web-based variant that is being led UNCLASSIFIED UNCLASSIFIED 4 by the Army’s Joint Program Executive Office for Chemical and Biological Defense (JPEO-CBD).

 

To apply for this job please visit www.xatorcorp.com.