Llnl
Nevada Experiment Integration Manager - Active Security Clearance
Las Vegas, NV, United States · Contract
No sponsorship$149k-$254kDetected 1 day ago
CybersecurityComplianceMedical DevicesLeadershipCommunication
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odds of building a lasting career here
37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
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About the role
- Join us and make YOUR mark on the World!
- Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
- With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Responsibilities
- Develop integrated execution plans for highly complex dynamic experiments, detailing work scope, defining schedule, and negotiating shared resources across numerous organizations, including piloting change, developing new ideas and innovative methods, and modifying various approaches.
- Participate in design and operations reviews to inform experiment plans and configurations, provide input on facility and operations interfaces, and ensure the experiment team is ready and authorized to conduct work safely.
- Facilitate planning efforts with WPD integrated experiment teams and verify experiment requirements and engineering specifications are met in support of programmatic objectives.
- Perform other duties as assigned.
- Expert verbal and written communication and facilitation skills to collaborate and lead effectively in a team environment and present and explain technical information and advise senior management and/or external sponsors.
Requirements
- Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.
- If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
Compensation
- 149,400 - 253,896 Annually
- This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.
- An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Benefits
- Flexible Benefits Package
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
- Bachelor's degree in engineering or related field, or the equivalent combination of education and related experience.
Company info
- https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
- Equal Employment Opportunity
- We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
- Reasonable Accommodation
- Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.
- If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
- The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents.
- The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose.
Visa & Work Authorization
- Security Clearance
This listing is sourced directly from Llnl's careers page and normalized into a canonical job model.