Pacific Northwest National Laboratory Biological Data Scientist in RICHLAND, Washington
Organization and Job ID
Job ID: 311163
Directorate: Earth and Biological Sciences Directorate
Division: Biological Sciences
Group: Biological Systems Science
The new Computational Biology Group at the Pacific Northwest National Laboratory (PNNL) is seeking a senior data scientist to join our team to provide technical expertise on existing projects, lead in the development of new research proposals, and provide leadership and mentorship to junior scientists and peers. Expertise in statistics, machine learning, analysis of omic data, biomarker discovery, software development, proposal development, prior management experience, and working in multidisciplinary teams are highly relevant.
The data scientist will contribute to diverse fundamental science research programs studying human health problems such as cancer and infectious diseases as well as microbial communities and environmental microbiology. The candidate will be responsible for data analysis from various high-throughput ‘omics platforms, such as DNA/RNA sequence data, proteomics and metabolomics. The position involves technical work with complex multi-omics data from ongoing studies, focusing on application of methods for analysis, data integration, and machine learning. The incumbent will define and carry out the application of existing methodologies, as well as perform original research in the field of computational biology as needed to extract meaning from complex biological data. In addition to technical research, this position expects leadership in mentoring, publishing, project leadership, strategic planning and business development.
The ideal candidate should have a strong statistics and programming skills with knowledge of fundamental basic biology. The candidate should have good communication skills with a demonstrated capability to perform multi-disciplinary, collaborative research, be the lead author of a significant number of technical products and have national recognition through professional societies or participation in national meetings in statistics or computational biology. The candidate should also have an interest in applying new approaches and knowledge to science problems associated with human health, bioenergy, and carbon cycling. The candidate should be highly proficient in at least on programming language (Python, R, e.g.) and have experience in software development practices (version control, unit testing, etc.).
- BS/BA with 7 years of experience, MS/MA with 5 years of experience, or PhD with 3 years of experience
PhD in statistics, biostatistics, bioinformatics or a closely related field.
Significant experience with software development tools (GitHub) and Python or R development experience
Demonstrated ability to collaborate within and across institutions
National reputation through scientific publication and conference presentation
Prior team leadership
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.
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment.
- U.S. Citizenship
Directorate: Earth & Biological Sciences
Job Category: Scientists/Scientific Support
Group: Biological Systems Science
Opening Date: 2020-09-04
Closing Date: 2020-09-24