Post Masters RA - Computational Chemical Biology & Exposure Sciences
Full/Part Time: Full-Time
The Pacific Northwest National Laboratory (PNNL) seeks ambitious, high caliber candidates for a Post Bachelors/Masters Research Associate internship within the Chemical Biology & Exposure Science Group. The position involves the development of methods, algorithms and computer code for data analysis, visualization, and simulations specific for understanding complex microbial communities and multi’omics data. The research and development tasks would involve implementing methods to analyze data, the application of these methods on high performance computers, the generation of figures and text, and the interpretation of the data into the larger picture of microbial interactions, multi’omics, and spatially resolved biological information. The Chemical Biology & Exposure Science Group is an integral component of Biological Sciences research and maintains close ties with other Biological Sciences research groups – Computational Biology, Integrative Omics, and others - as well as groups in the areas of applied mathematics, computer science, and statistics.
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.
Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university. Minimum overall GPA of 3.0 required.
A degree in Computer Science, Statistics, Data Science, Cognitive Science, Engineering or related field is preferred. The position requires knowledge of programming or scripting languages such as Python, C++, R or Matlab, familiarity with data analysis, or knowledge of machine learning and visualization methods. A desire to work with computers and diverse groups of people would be helpful as would a desire to work with challenging problems and writing tasks. This job will require the candidate to overcome many technical challenges, as well as apply interpretation of data to addressing scientific questions. Writing, literature reviews, and editing will be required.
Applicants with experience in one or more of these areas, or closely related topics, are encouraged to apply:
Programming languages, preferably Python, but also R, Matlab, or C++
Strong technical writing skills
Data analysis, statistical approaches, and mathematical simulations applied to biological problems
Development in Linux and Windows environments
Demonstrated experience in software development teams
Positions are available in Richland, WA.
*BEFORE YOU APPLY*
When asked to upload your resume to your application, you need to upload one (1) PDF file that includes the following:
1. Current resume or CV
2. Unofficial transcripts for all current and past degrees
3. A 100-word essay describing why you are interested in biological data analysis and script generation, and a 140-letter character sentence describing yourself.
APPLICATIONS THAT DO NOT INCLUDE THE ITEMS ABOVE IN THEIR SINGLE PDF UPLOAD WILL BE DISQUALIFIED AS INCOMPLETE.
Organization and Job ID
Job ID: 308016
Directorate: Earth & Biological Sciences
Division: Biological Sciences
Group: Chemical Biology & Exposure Science