Applied Statistics Researcher
Applied Statistics Researcher
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1 Vacancy
Job Description
We have multiple openings for an Applied Statistics Researcher. You will engage in cutting edge research design and deployment of statistical methods to solve important decision and detection problems stemming from the Laboratorys core mission spaces. We invite you to join us if you have expertise in one of the following desired areas: Bayesian modeling uncertainty quantification analysis and design of computer experiments statistical learning statistical methods for Big Data or general statistical consulting. These positions are in the Computational Engineering Division (CED) within the Engineering Directorate.
These positions will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.
In this role you will
- Conduct research development post-processing and documentation of results in one or more of the following areas: information retrieval and representation cyber security image and video analysis design of computer experiments climate modeling energy analysis computational biology lasers and optics. Design implement and utilize in-depth analysis techniques in one or more of the above areas.
- Collaborate with project scientists and engineers and actively contribute to the scope planning and formulating modeling/simulation efforts for complex physical engineering and computational systems in the areas of cyber security biological and environmental threat detection uncertainty quantification and others.
- Develop implement validate and document specialized analysis software tools and models as required.
- Collaborate with others in a multidisciplinary team environment including industrial and academic partners to accomplish research goals solve complex technical challenges as well as develop innovative methods and/or technologies.
- Organize analyze document author and publish research results in peer-reviewed scientific or technical journals and present and explain results at external conferences seminars and/or technical meetings.
- Lead technical teams in executing complex projects and tasks while balancing priorities of customers and partners to ensure deadlines are met. Provide technical guidance and mentor and coach team members as needed.
- Serve as point of contact for program managers internally and at sponsor and partner other duties as assigned.
- Perform other duties as assigned.
Additional job responsibilities at the SES.4 level
- Serve as a subject matter expert in highly advanced concepts providing strategic technical advice to internal senior management and external sponsors.
- Represent LLNL as the primary technical contact on external scientific or technical committees.
- Work independently to establish project vision and strategy influence technical direction and decisions and drive successful project outcomes.
- Lead and guide teams and direct highly advanced technical tasks to deliver critical project components while ensuring alignment with project schedules and budgets.
Qualifications :
- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
- Masters degree in Statistics or relevant technical discipline or the equivalent combination of education and related experience.
- Advanced level knowledge of and significant experience using programming skills in at least one prototyping language R/Matlab/Python as well as one of C/C/Java to enable high performance statistical computation.
- Advanced level knowledge of and significant experience in researching designing and applying statistical methods statistical/machine learning models and algorithms to solve complex decision and detection problems in one or more of the following settings: classification clustering anomaly detection density estimation pattern recognition knowledge discovery.
- Significant experience directing leading developing and executing independent research projects as demonstrated through publication of peer-reviewed literature.
- Advanced organizational verbal and written communication and interpersonal skills to collaborate effectively in a multidisciplinary team environment and with subject matter experts including authoring reports presenting and explaining complex technical information.
- Demonstrated ability to exercise independent judgment in determining optimal techniques and methods.
Additional qualifications at the SES.4 level
- Significant experience developing innovative solutions and methods requiring in-depth analysis of multiple highly complex factors.
- Significant leadership experience in directing technical projects and managing and mentoring multidisciplinary teams.
- Expert communication skills to effectively advise and influence senior management and external sponsors and to interact with stakeholders and decision-makers.
Qualifications We Desire
- PhD in Statistics or relevant technical discipline.
- Familiarity with algebraic statistics and statistical models for combinatorial/algebraic structures.
- Experience with human language technology data mining and self-supervised learning.
- Ability and desire to obtain substantial domain knowledge in fields of application.
Additional Information :
#LI-Hybrid
Position Information
This is a Career Indefinite position open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory
- Included in 2025 Best Places to Work by Glassdoor!
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
- Our values - visit Clearance
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE) Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. 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. This includes but not limited to cell phones tablets fitness devices wireless headphones and other Bluetooth/wireless enabled devices.
If you use a medical device which pairs with a mobile device you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas Secure Space and Transit/Buffer Space within buildings.
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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
