The DOE Joint Genome Institute (JGI) in Walnut Creek, CA (a division of the Lawrence Berkeley National Lab) has an exciting opportunity available for a Microbiome Postdoctoral Fellow. We are looking for a talented, highly motivated candidate with a strong background in microbial ecology and computational biology to expand the toolkit of sequence-to-function approaches for uncultivated microbial taxa. The successful candidate will be expected to design, benchmark, and apply bioinformatics and statistical tools to enable analysis and interpretation of stable isotope probing (SIP)-metagenomics data. The candidate will be expected to work independently, as well as contribute as a member of a dynamic, multidisciplinary team of biologists, bioinformaticians, computer scientists and software developers. The successful candidate will report directly to the Metagenome Program Head, but will work closely with the Microscale Applications Group Lead and production and scientific staff in the Prokaryote Super Program. Target start date of October 1, 2019.
What You Will Do:
Design, benchmark, and apply bioinformatics and statistical tools to enable analysis and interpretation of SIP-metagenomics data. Specifically, the candidate will develop a new SIP-metagenomics computational toolkit for the quantitative analysis of microbial groups actively assimilating isotopically-labeled compounds.
Apply knowledge of microbial metabolism and physiology to carry out in-depth characterization of isotopically-enriched microbial taxa across different experiments and environments
Gather feedback and requirements to develop software for the organization and handling of SIP-metagenomic data and automation of analytical procedures to deploy in a production setting
Work in a high-performance computing environment and interact with a team of computer scientists, software developers and postdoctoral researchers to develop new methods and statistical tools
Present updates at group meetings and at scientific conferences, and publish results in peer-reviewed journals
Contribute to research as part of a large multidisciplinary team
Additional Responsibilities as needed:
Support the development of visualization tools and/or user interface for navigation and data comparisons across SIP-metagenomic samples
What is Required:
Recent Ph.D. (within the last 4 years) in microbiology, bioinformatics, statistics or a related discipline
Substantial knowledge and understanding of bioinformatics tools for sequence similarity search, multiple sequence alignment, profile search, clustering and phylogenetic analyses using ribosomal genes and conserved marker genes is required
Significant experience in methods and tools for next-generation sequencing, metagenome assembly and binning, and genome reconstruction
Experience in a scripting language (Perl, Python) is a must, knowledge of Unix tools, relational databases and R is desirable
Excellent written and oral communication skills
Ability to independently carry out high-quality research with tenacity and creativity
Ability to troubleshoot complex systems and data analysis problems.
Demonstrated ability to conduct and perform collaborative research and effectively interact with a broad range of colleagues with tact and diplomacy.
Excellent organizational, analytical, and record-keeping skills with the ability to organize and present technical reports to collaborators, JGI staff, management, and sponsors.
Demonstrated ability to accurately and eloquently represent and promote scientific projects to audiences of diverse technical backgrounds.
Additional Desired Qualifications:
Experience in or familiarity with statistical analysis is desired
Experience in stable isotope probing (SIP) and associated data analysis is desirable, but not required
The posting shall remain open until the position is filled.
This is a full time, 3 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 2 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
Full-time, M-F, exempt (monthly paid) from overtime pay.
This position is represented by a union for collective bargaining purposes.
Salary will be predetermined based on postdoctoral step rates.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at DOE Joint Genome Institute (JGI) -- 2800 Mitchell Dr., Walnut Creek, CA.
Berkeley Lab (LBNL) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 85791
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.