ChemBio Data Scientist

Key Skills

Java Programming, Python Programming, Database, SQL, Machine learning techniques, Deep Learning, Keras software library, Data Modeling, PyTorch, TensorFlow, Theano, R Programming, Algorithms, Molecular biology, Linux Operating system, Caffe, Large scale data processing, Descriptive analysis

Job Description

We have openings for Chemical/Biological Data Scientists. You will perform work in a challenging R&D environment in support of the Laboratory's programs that integrate molecular dynamics simulations, machine learning, structural bioinformatics, modeling, computer science, and large experimental datasets in the areas of antibody and vaccine design. 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.

In this role you will

• Collaborate with scientists and researchers in one or more of the following areas: machine learning, statistical learning, antibody engineering, protein structure modeling and analysis, protein-protein interface analysis, information visualization, data integration, scientific data mining, database technology, scalable tool development, and High Performance Computing (HPC) simulation and evaluation.
• Develop machine learning models for predicting properties of antibodies and antigens using large experimental and synthetic datasets, while working with other LLNL scientists and application developers.
• 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.

Additional job responsibilities, at the SES.3 level

• Lead design and development of a data science project to ensure complex tasks and deadlines are met.
• Complete complex projects/tasks, and solve abstract complex problems/ideas and convert them into useable algorithms/software modules, while collaborating with team members.
• Provide solutions that require in-depth analysis of multiple factors and the creative use of established methods.

Qualifications

• 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, protein structure analysis, antibody engineering.
• Experience with molecular simulations or statistical modeling of experimental data in molecular biology.
• Broad experience developing software with Python or R in Linux or Windows.
• Broad experience with data analysis algorithms, data management approaches, relational databases, or machine learning algorithms.
• Experience with one or more deep learning libraries, such as, TensorFlow, Torch, Caffe, Keras, or Theano.
• 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.

Additional qualifications, at the SES.3 level

• Significant experience developing one or more of the following: machine learning models trained on molecular simulation data, active learning to guide model development, or uncertainty quantification on deep learning models.
• Significant experience developing and/or training deep learning models on 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.

Qualifications We Desire

• 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.
• Experience in protein structure bioinformatics, protein structure modeling, homology modeling, protein structure alignment, protein-protein interface analysis, protein-protein docking, binding prediction, computational protein chemistry, and/or computational immunology.
• Experience with machine learning and/or bioinformatics on large data sets of proteins.
• Experience working with data from phage and/or yeast display libraries.

Additional Information

Why Lawrence Livermore National Laboratory?

• Included in 2021 Best Places to Work by Glassdoor!
• Work for a premier innovative national Laboratory
• Comprehensive Benefits Package
• Flexible schedules (epending on project needs)
• Collaborative, creative, inclusive, and fun team environment