Pacific Northwest National Laboratory Senior Research Scientist in RICHLAND, Washington
Organization and Job ID
Job ID: 308647
Directorate: Earth and Biological Sciences
Division: Biological Sciences
Group: Chemical Biology and Exposure Science Team
The Earth Biological Sciences Division at the Pacific Northwest National Laboratory (PNNL) is seeking a senior research scientist in data science and bioinformatics to contribute to emerging biomedical research programs. The Scientist will define and carry out the application of existing methodologies and conduct original research in machine learning and data science largely focused in the area of omics technologies, image analysis, and simulation. The position involves work with high performance computing platforms, parallel programming, statistical computing, and data integration methods.
Our research portfolio—spanning from basic to applied—includes data and computational engineering, high-performance computing, applied mathematics, and machine learning, directed towards analysis of omics data and network analysis for biomedical discovery. We expect growth in the area of deep learning approaches for image analysis.
The ideal candidate will be proficient in one or more scripting languages (Perl, Python), as well as one or more statistical computing languages (R or MatLab). He/she should have a strong fundamental biology background with significant statistical computing experience and experience in processing and analysis of image data, deep learning and statistics for toxicity prediction, and modeling biological systems. The candidate should have excellent communication skills with a demonstrated interest in multi-disciplinary, collaborative research. The candidate should also have an interest in applying new approaches and knowledge to science problems associated chemical impacts on biological systems.
Candidates are expected to have a PhD in bioinformatics, statistics, biological engineering or chemical engineering, with a minimum of 4 years of post-graduate experience. Experience with software development practices (version control, unit testing, etc.) and parallel programming approaches for high-performance computing and handling large data sets would be a positive.
BS/BA with 2 years of experience; MS/MA with 0 years of experience; PhD with 0 years of experience
Minimum Education Requirement: PhD in biological engineering, chemical engineering, bioinformatics, statistics or similar discipline with at least 4 years of post-graduate experience image analysis, toxicity prediction, exposure modeling, bioinformatics, or integration of proteomics, metabolomics and genetics.
Technical Expertise: Skilled professional. Applies, on a broad basis, existing theories, principles, and concepts within the field(s) of toxicology, genetics, data analytics, disease susceptibility and exposure assessment.
Level of Responsibility: Fully competent in all conventional applications of knowledge common in field(s) of biological engineering, statistics, modeling biological systems and some experience in clinical image analysis or biomarker analysis.
Breadth of Technical Knowledge: Proactively stays abreast of leading developments the field and leads externally in the development new scientific directions. Maintains skills consistent with state of the art.
Scripting and coding in R, Python, ACSL, and or Matlab
Demonstrated evidence of the ability author peer-reviewed publications.
Due to the collaborative and interdisciplinary nature of work at PNNL, strong communication skills and ability to work both independently as well as in a group setting with collaborators and others is necessary.
Experience working in multiple application domains, for example image analysis for clinical diagnostics, toxicology, biological data integration.
Research experience in computational biology and omics technologies, such as genomics, proteomics, and metabolomics
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
Directorate: Earth & Biological Sciences
Job Category: Scientists/Scientific Support
Group: Chem Bio & Exposure Sci Team
Opening Date: 2019-01-31
Closing Date: 2019-03-15