Lawrence Livermore National Laboratory



Applied Statistician

Location:  Livermore, CA
Category:  Science & Engineering
Organization:  Engineering
Posting Requirement:  External w/ US Citizenship
Job ID: 103296
Job Code: Science & Engineering MTS 2 (SES.2)
Date Posted: January 18 2018

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Science and Technology on a Mission!

For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.

We have an opening for an Applied Statistician with experience in: Statistical consulting, Predictive modeling of clinical data and medical records, Statistical analysis of massive data sets, and Survival analysis. You will participate in programmatic efforts to develop and apply statistical analytic methods in support of Laboratory mission objectives. You will work independently to identify and implement statistical techniques to meet data analysis challenges. This position is in the Computational Engineering Division (CED), within the Engineering Directorate.

Essential Duties
- Scope, plan, and formulate statistical modeling efforts for physical, engineering, and computational systems relevant to national security.
- Identify and define problems stemming from national security applications, propose advanced analysis methodologies, collect and analyze data, and write reports documenting results.
- Adapt and apply existing statistical methods and theories to new problem domains.
- Develop, implement, validate, and document independently specialized statistical analysis tools utilizing high-level programming languages.
- Perform other duties as assigned.

Qualifications
- Master’s degree in statistics or biostatistics or equivalent combination of education and related experience.
- Comprehensive programming skills in at least one language: R/Matlab/SAS/Python/Scala/CUDA, as well as proficiency with tools/frameworks: RShiny, Django, Git, Spark, Hadoop.
- Experience developing and applying advanced statistical/machine learning models and algorithms for one or more of the following areas: Survival analysis, Hierarchical Bayesian modeling, Classification in big-data environments (Hadoop, cloud computing).
- Demonstrated ability to work effectively both independently and as part of a multidisciplinary team.
- Comprehensive knowledge in fields of application.
- Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.
- Ability to travel as necessary to collaborate with industrial and academic partners.

Desired Qualifications
- Experience with large-scale computational modeling, including parallel computing frameworks and GPUs.
- Demonstrated ability to attain subject matter expertise in multiple application domains.

Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.
 

Security 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. In addition, all L or Q cleared employees are subject to random drug testing. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.

Note: This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.

About Us

Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.8 billion, employing approximately 6,500 employees.

LLNL is an affirmative action/ equal opportunity employer. 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, protected veteran status, age, citizenship, or any other characteristic protected by law.

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