Senior Multi-Domain Operations Analyst

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This range is provided by Johns Hopkins Applied Physics Laboratory. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$90,000.00/yr - $/yr

Are you passionate about analyzing complex problems integrating Space, Air, Surface, and Ground warfare domains using state-of-the-art software and computing capabilities?

Are you searching for an opportunity to apply your operations analysis background in an engaging, inquisitive environment?

If so, the Air Combat and Strike Analysis Group at the Applied Physics Lab is looking for you!

Our dedicated team of engineers, physicists, mathematicians, and computer scientists are engaged in a diverse portfolio of projects with the U.S. military. Our analysts support the acquisition, maintenance, and assessment of various military systems and technologies.

We want you to join our team and provide your background in operations analysis to expand our capabilities and help us stay at the forefront of the field!

Our work is sophisticated, engaging, and often has significant impact on Department of Defense programs. We pride ourselves on our intellectual integrity and our ability to deliver outstanding, unbiased analysis products. Our team emphasizes personal growth and continuous improvement.

If this environment aligns with your interests and career goals, consider us as part of your future.

• Perform analysis on interacting sensor, tracker, communication, and weapon systems for multi-domain, mission-level simulations to discover insightful trends, inform conclusions, and support decision-making.
• Conduct statistical analysis to identify trends, assess risk, and document uncertainties in simulation results.
• Collaborate with domain and technology experts, learning to integrate key effects into multi-domain simulation environments.
• Work within small teams, mentoring junior analysts and guiding project directions with senior engineers.
• Engage in independent research projects that foster creativity and initiative.
• Present work through briefings to technical specialists and decision-makers.

You will meet our minimum qualifications if you:

• Hold a BS or MS in Mathematics, Physics, Engineering, or Computer Science.
• Have demonstrated excellence in modeling, simulation, and analysis within Air, Space, Surface, or Ground warfare domains.
• Are quick to learn new and challenging topics.
• Can effectively collaborate and communicate complex ideas.
• Proficient in MATLAB or Python.
• Can obtain Interim Secret clearance and ultimately Top Secret clearance; U.S. citizenship required.

You’ll exceed minimum qualifications if you:

• Have a PhD in a relevant scientific or technical field.
• Have experience integrating across warfare domains, especially Space.
• Have leadership experience in team management and workflow.
• Are familiar with M&S tools like AFSIM, STK, Suppressor, or Brawler.
• Have experience with version control systems like Git/Git Lab.
• Possess an active Top Secret clearance.

The Johns Hopkins University Applied Physics Laboratory (APL) offers a vibrant, inclusive culture where you can grow professionally and personally. We value diversity, creativity, and innovation, providing excellent benefits including education assistance, retirement contributions, and work/life balance. Our campus is located in the Baltimore-Washington area. Learn more at our careers page.

We are committed to equal opportunity employment and providing accommodations for individuals with disabilities. For accommodations, contact Accommodations.

The pay range is based on good faith estimates; actual compensation may vary based on experience, location, and other factors. We offer bonuses, relocation benefits, and a comprehensive benefits package. Applications are accepted on a rolling basis.

Minimum: $90,000 Annually

Maximum: $230,000 Annually

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Full-time
• Job functions:
  
  Management and Manufacturing
• Industries:
  Defense and Space Manufacturing