Pacific Northwest National Laboratory Scientist, Computational Biology & Bioinformatics Group in RICHLAND, Washington

Organization and Job ID

Job ID: 305888

Directorate: Earth & Biological Sciences

Division: Biological Sciences

Group: Computational Biology & Bioinformatics

Job Description

A Scientist, Level 1 (early career), position is available in multi-scale biomathematical modeling in the Computational Biology & Bioinformatics Group at PNNL. This position will work with lung imaging data using advanced filtering techniques to improve signal-to-noise ratios, feature detection, registration as well as the process of going from imaging data to 3D surfaces ready for computational fluid dynamics simulations. This work will also include application of supervised (neural nets, SVMs, Bayesian approaches) and unsupervised learning methods to biological 'omics data and leveraging biological knowledge bases to infer functional relationships between hosts and microbes.

The successful candidate will work under the direction of PNNL staff scientists and will interact directly with imaging scientists, bioengineers/biophysicists, mathematicians, biologists, and statisticians to: 1) segment respiratory airways from in vivo imaging data sets; 2) construct computational meshes; 3) perform computational fluid dynamics (CFD) and particle deposition simulations using commercial and in-house developed software; and 4) develop statistical models from data that can be integrated with simulation models of microbial dynamics.

The successful candidate will be joining in multidisciplinary scientific teams to develop multi-scale models of lung dynamics. S/he will also have opportunities to have access to state-of-science computational, experimental, and analytical capabilities associated with PNNL and the Environmental Molecular Sciences Laboratory. The investigator will be responsible for helping meet project requirements and in the writing of manuscripts that describe project work/results. Strong communication and writing skills as well as excellent teaming relationships with experimental scientists are required. S/he will act in close collaboration with senior PNNL staff.

Minimum Qualifications

• Bachelor's degree with 0-1 years experience or a Master's degree.

• Expected to contribute professionally, applying basic theories, principles, methods, tools and technologies to well-defined assignments of limited scope.

Preferred Qualifications

• Bachelor’s or Master’s degree in computer science, biophysics/bioengineering, physics, statistics or related discipline AND at least 2 years of work experience.

• Strong programming experience with multiple languages and Linux, Unix and Windows operating systems.

• Experience in image processing, machine learning, cellular pathway modeling, mesh development or computational codes; and pharmacy-kinetics and systems toxicology.

• Due to the collaborative and interdisciplinary nature of this research, strong communication skills and the ability to work both independently and in a group setting with multiple investigators are critical.

• Demonstrated evidence of the ability to lead projects as well as contribute to peer-reviewed publications is strongly desired.

Equal Employment Opportunity

PNNL is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse, talented workforce. EOE Disability/Vet/M/F/Sexual Orientation/Gender Identity. Staff at PNNL must be able to demonstrate the legal right to work in the United States.

Directorate: Earth & Biological Sciences

Job Category: Scientists/Scientific Support

Group: Computational Biology

Opening Date: 2016-10-11

Closing Date: 2016-10-26