Lawrence Livermore National Laboratory

ChemBio Data Engineer

Location:  Livermore, CA
Category:  Science & Engineering
Organization:  Computing
Posting Requirement:  External Posting
Job ID: 107016
Job Code: Science & Engineering MTS 2 (SES.2) / Science & Engineering MTS 3 (SES.3)
Date Posted: April 06 2020

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Join us and make YOUR mark on the World!

Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2020 Best Places to Work by Glassdoor!

We have openings for Chemical/Biological Data Engineers. You will perform work in a challenging R&D environment in support of the Laboratory's programs using pharmacology, molecular dynamics simulations, experimental data modeling and computer science in the areas of drug design or multiomics. This position is within the Global Security Computing Applications Division GS-CAD of the Computing Directorate.

This position will be filled at either the SES.2 or SES.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level.

Essential Duties
- Collaborate with scientists and researchers in one or more of the following areas: machine learning, statistical learning, information visualization, data integration, scientific data mining, database technology, scalable tool development, and High Performance Computing (HPC) simulation and evaluation.
- Work with other LLNL scientists and application developers to develop machine learning models for predicting properties of chemical compounds or multiomics.
- Carry out development of moderately complex data analysis algorithms to address program and sponsor data sciences requirements.
- Engage other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team.
- Design technical solutions with limited direction, participate as a member of a multidisciplinary team to design, and implement software and perform analyses to address project requirements.
- Perform other duties as assigned.

In Addition at the SES.3 Level
- Lead design and development of a data science project to ensure complex tasks and deadlines are met.
- Utilize team members skills to complete complex projects/tasks, and solve abstract complex problems/ideas and convert them into useable algorithms/software modules.
- Provide solutions that require in-depth analysis of multiple factors and the creative use of established methods.

- Bachelor’s degree in Computer Science, Computer Engineering, Computational Biology, Computational Chemistry, or related field, or the equivalent combination of education and related experience.
- Comprehensive knowledge of one or more of the following: scientific data analysis, statistical analysis, deep learning, unsupervised learning, active learning, data management technologies.
- Experience in pharmacology, toxicology, or multiomics and molecular simulations or statistical modeling of experimental data in molecular biology.
- Broad experience developing software with C++, C, Java, Python, R, or Matlab in Linux or Windows.
- Broad experience with data analysis algorithms, data management approaches, relational databases, or machine learning algorithms.
- Experience improving software infrastructure for multiomics, such as automating pipelines on HPC or building databases.
- Effective interpersonal skills necessary to interact with all levels of personnel.
- Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.

In Addition at the SES.3 Level
- Significant experience developing one or more of the following: machine learning models trained on molecular simulation or multiomics data, active learning to guide model development, and uncertainty quantification on deep learning models.
- Significant experience developing analysis infrastructure for chemical or molecular biology data.
- Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems, as well as advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.

Desired Qualifications
- Master’s degree or Ph.D. in Computer Science, Computer Engineering, Computational Biology, Computational Chemistry, or related field.
- Publication record demonstrating research in the area of machine learning and/or computational biology or computational chemistry.

Pre-Employment Drug Test:  External applicant(s) selected for this position will be required to 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.

Security Clearance:  None. 

Note:  This listing has multiple openings; these are Career Indefinite positions.  Lab employees and external candidates may be considered for these positions.

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 $2.3 billion, employing approximately 6,900 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.