Johns Hopkins Applied Physics Laboratory
2026 PhD Graduate - Data Scientist / Computer Scientist - Decision Systems
Johns Hopkins Applied Physics Laboratory, Laurel, Maryland, United States, 20724
Overview
2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Base pay range
$102,500.00/yr - $227,500.00/yr 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. Description
Are you looking for an engaging and impactful career building on the foundations of your academic work? Do you want to build data-driven solutions that offer the explainability vital to decision making? Would you like to be a part of an engaging interdisciplinary intellectual community? If so, consider joining us in the Decision Systems Group (QAX) as we work to enhance the safety and security of the nation through "Critical Contributions to Critical Challenges". We are advancing analytic methods and developing integrated software systems empowering informed decision making. We are working to advance the forefront of national and health security. As a member of our QAX team, you may... Design and develop high-performance, scalable, and resilient decision support systems. Collaborate with internal and external partners to understand and translate system concepts into plans of action. Develop proof of concept prototypes to explore new technologies in the context of our sponsor's missions. Engage in research and analysis to move our approaches from a reactive to a proactive posture. Qualifications You meet our minimum qualifications for the job if you... Possess a terminal degree (e.g., PhD, DEng) in Computer Science, Mathematics, Physics, Electrical Engineering, or a similar field Are proficient in at least one programming language commonly used in data science and/or full-stack development (e.g., Python, Java, JavaScript) Possess outstanding written and oral communication skills, organizational skills, and a penchant for relationship building Are able to obtain an Interim Secret clearance to start and a final Secret level security clearance. If selected, you 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. You\'ll go above and beyond our minimum requirements if you... Have prior experience as a researcher or practitioner in any of the following areas: Generative AI, Deep Learning, Optimization, Natural Language Processing, Operations Research, Supply Chain Analysis, Software Engineering, Data Visualization, Data Engineering, DevOps / MLOps, Public Health Surveillance, or Health Informatics. Have a record of communicating analyses of real-world data sets to audiences with broadly varying technical backgrounds. About Us Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $102,500 Annually Maximum Rate $227,500 Annually Seniority level
Internship Employment type
Full-time Job function
Engineering and Information Technology Industries
Defense and Space Manufacturing Referrals increase your chances of interviewing at Johns Hopkins Applied Physics Laboratory by 2x Other
Sign in to set job alerts for “Data Scientist” roles. Washington, DC $114,000.00-$171,000.00 1 week ago Washington, DC $145,000.00-$204,000.00 2 weeks ago Washington DC-Baltimore Area $140,000.00-$165,000.00 2 weeks ago Fort George G. Meade, MD $117,000.00-$196,000.00 1 week ago Senior Healthcare Data Scientist - AI/ML, Stats, OR Annapolis Junction, MD $68,146.36-$149,921.98 3 weeks ago Arlington, VA $100,000.00-$200,000.00 1 month ago Washington, DC $133,000.00-$287,800.00 6 days ago Germantown, MD $110,000.00-$146,000.00 1 month ago Washington, DC $160,000.00-$200,000.00 2 months ago Washington, DC $115,000.00-$138,000.00 1 week ago Washington, DC $140,000.00-$180,000.00 1 month ago Artificial Intelligence/Machine Learning (AI/ML) Engineer Arlington, VA $140,000.00-$200,000.00 3 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Base pay range
$102,500.00/yr - $227,500.00/yr 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. Description
Are you looking for an engaging and impactful career building on the foundations of your academic work? Do you want to build data-driven solutions that offer the explainability vital to decision making? Would you like to be a part of an engaging interdisciplinary intellectual community? If so, consider joining us in the Decision Systems Group (QAX) as we work to enhance the safety and security of the nation through "Critical Contributions to Critical Challenges". We are advancing analytic methods and developing integrated software systems empowering informed decision making. We are working to advance the forefront of national and health security. As a member of our QAX team, you may... Design and develop high-performance, scalable, and resilient decision support systems. Collaborate with internal and external partners to understand and translate system concepts into plans of action. Develop proof of concept prototypes to explore new technologies in the context of our sponsor's missions. Engage in research and analysis to move our approaches from a reactive to a proactive posture. Qualifications You meet our minimum qualifications for the job if you... Possess a terminal degree (e.g., PhD, DEng) in Computer Science, Mathematics, Physics, Electrical Engineering, or a similar field Are proficient in at least one programming language commonly used in data science and/or full-stack development (e.g., Python, Java, JavaScript) Possess outstanding written and oral communication skills, organizational skills, and a penchant for relationship building Are able to obtain an Interim Secret clearance to start and a final Secret level security clearance. If selected, you 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. You\'ll go above and beyond our minimum requirements if you... Have prior experience as a researcher or practitioner in any of the following areas: Generative AI, Deep Learning, Optimization, Natural Language Processing, Operations Research, Supply Chain Analysis, Software Engineering, Data Visualization, Data Engineering, DevOps / MLOps, Public Health Surveillance, or Health Informatics. Have a record of communicating analyses of real-world data sets to audiences with broadly varying technical backgrounds. About Us Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $102,500 Annually Maximum Rate $227,500 Annually Seniority level
Internship Employment type
Full-time Job function
Engineering and Information Technology Industries
Defense and Space Manufacturing Referrals increase your chances of interviewing at Johns Hopkins Applied Physics Laboratory by 2x Other
Sign in to set job alerts for “Data Scientist” roles. Washington, DC $114,000.00-$171,000.00 1 week ago Washington, DC $145,000.00-$204,000.00 2 weeks ago Washington DC-Baltimore Area $140,000.00-$165,000.00 2 weeks ago Fort George G. Meade, MD $117,000.00-$196,000.00 1 week ago Senior Healthcare Data Scientist - AI/ML, Stats, OR Annapolis Junction, MD $68,146.36-$149,921.98 3 weeks ago Arlington, VA $100,000.00-$200,000.00 1 month ago Washington, DC $133,000.00-$287,800.00 6 days ago Germantown, MD $110,000.00-$146,000.00 1 month ago Washington, DC $160,000.00-$200,000.00 2 months ago Washington, DC $115,000.00-$138,000.00 1 week ago Washington, DC $140,000.00-$180,000.00 1 month ago Artificial Intelligence/Machine Learning (AI/ML) Engineer Arlington, VA $140,000.00-$200,000.00 3 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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