Operations Research Scientist


Are you passionate about providing real impact to the country's toughest national security problems?

Are you searching for engaging work with an employer that prioritizes continual innovation?

Our team is looking to provide operations research problem solving techniques to national and homeland security programs. To succeed, we need talented operations research scientists, statisticians, and computer scientists. We are looking for individuals with curiosity and drive to develop new approaches and technologies in automated planning to be used to solve our nation's most difficult challenges.

The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, located midway between Baltimore and Washington, DC is seeking is seeking an automated planning and scheduling expert with strong computer science and software development skills.

Job Summary:

The Large-Scale Analytics Group develops software systems that incorporate optimization, planning, machine learning algorithms, and visual analytics to automatically plan complex missions for U.S. national security components including the armed services, special operations, and national emergency support. We are looking for talented individuals with knowledge of modern operations research techniques as well as software development experience to join our team and provide our sponsors with new solutions to old problems. The successful candidates should be creative thinkers, motivated problem solvers, team players, and life-long learners that want to strengthen the safety and security of our country.

Duties (Listed in order of importance with the estimated amount of time spent at each task):
1. Work as part of a small team to design and develop automated planning and scheduling software (50%)

2. Design and code prototype software applications (30%)
3. Test, deploy, maintain and enhance software integration with database applications (10%)
4. Develop and maintain software documentation and user manuals (10%)

Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.


Required Qualifications:

M.S. in Operations Research, Computer Science, Software Engineering, Information Sciences, Applied Mathematics, or a related discipline. Working knowledge of and experience with modern optimization and AI planning techniques and tools, including CPLEX, Gurobi, COIN-OR, or other similar optimization and prescriptive analytic tools. Proficient in the Java programming languages. Ability to communicate clearly and concisely, both verbally and in written form. Ability to prioritize tasks and work as part of a team and/or independently. Eligibility for a DoD Secret clearance.

Desired Qualifications:

Experience with Python, C++, or C#. Experience with JavaScript and modern web technologies. Knowledge of interfacing with relational and NoSQL databases. Knowledge of agile methodology, unit testing, and continuous integration. The ability to work on multiple projects at once. Knowledge of national security applications and challenge areas. Eligibility for a DoD Top Secret clearance. Preference for current SSBI.

Special Working Conditions [Travel, working in closed areas, extended hours]: Some local travel to sponsor sites may be required.

Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.

Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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