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Job Requirements of Computational Social Scientist:
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Employment Type:
Full-Time
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Location:
Laurel, MD (Onsite)
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Computational Social Scientist
Top Secret Clearance Jobs is dedicated to helping those with the most exclusive security clearance find their next career opportunity and get interviews within 48 hours.
DescriptionAre you passionate about computational social science, network analysis and social media?
Are you eager to apply social science, mathematics and statistics to tackle complex societal challenges?
If so, we're looking for someone like you to join our team at APL!We are seeking a talented and innovative scientist ready to bring computational social science, network science, data science, mathematics, analytic and/or visualization expertise to some of the country's most difficult challenges.
We at APL are passionate about building innovative and exciting solutions for our sponsors and are committed to integrity and honesty. We strive to cultivate an environment of collaboration and teamwork! At APL, you will be among creative and motivated problem solvers; life-long learners who want to strengthen the safety and security of our nation.
As part of our team, you will...
- Provide expertise to projects focused on complex socio-technical problems.
- Apply cutting edge research to the modeling and understanding of social networks.
- Conduct research and work as part of a team in software development efforts to tackle complex societal challenges.
- Convert existing science and technology to solutions for complex problems to inform and improve U.S. Government efforts in various domains
- Have a Bachelor's degree in mathematics, statistics, cognitive science, computer science, or other related discipline.
- Have experience analyzing quantitative data using R, Python, MATLAB or other statistical package.
- Have experience applying research methodologies to understand real-world issues.
- Are able to obtain a Top 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.
- Have a Master's degree or PhD in mathematics, network analysis, statistics, cognitive science, computer science, or another related discipline.
- Have experience applying social network analysis to research questions focused on phenomena occurring on social media platforms.
- Have expertise in natural language processing.
At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at
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About UsAPL is an Equal Opportunity/Affirmative Action employer. 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 promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are 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 . Only by ensuring that everyone's voice is heard are we empowered to be bold, do great things, and make the world a better place.
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$90,000 Annually
Maximum Rate$220,000 Annually
Recommended Skills
- Analytical
- Classified Information
- Cognitive Science
- Data Science
- Flexible Spending Account
- Hardworking And Dedicated
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Job ID: U-118265004342
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