Lawrence Berkeley National Lab's ( LBNL ) Ecology Department has an
opening for a Permafrost Microbiome Postdoctoral Scholar to join the team.
In this exciting role, you will lead comparative analyses of multi ‘omics
datasets to address questions regarding microbial and viral genomic diversity,
metabolic activity in Arctic soils and permafrost. The research project
focuses on understanding the functional and phylogenetic evolution of
microbial and viral communities in Arctic soils and permafrost under seasonal
and disturbance mediated thaw events. This work will be conducted in
collaboration with NGEE Arctic and will focus especially on the analysis of
paired metagenomes and metatranscriptomes from NGEE Arctic field sites in
Utqiagvik and Nome, Alaska.
The expected workload will be 100% computational and additional tasks will
include activities such as developing, testing, and troubleshooting new
comparative omics approaches. The ideal candidate will have a strong
background in bioinformatics, computational biology, microbial ecology,
genomics, and statistics. We are looking for a highly motivated, independent
and creative scientist with excellent organizational skills and a strong
The position offers an excellent environment for working with a highly skilled
interdisciplinary team and will require excellent oral and written
communication skills. Lawrence Berkeley National Laboratory is a renowned
center of scientific expertise in the many facets of environmental and climate
sciences. Researchers in the Climate and Ecosystem Sciences Division work in
a wide range of areas to address the critical energy and environmental issues
that require continuing advances in our knowledge of Earth systems.
What You Will Do:
Extract and annotate microbial and viral genomes from Arctic soil
Perform comparative taxonomic and functional analysis of microbial and
viral MAGs from Arctic metagenomes and metatranscriptomes.
Generate detailed reports and data packages with extensive documentation.
Summarize research results and publish in peer-reviewed journals;
contribute to scientific research papers and reports.
Monitor literature for newly developed comparative metagenomics approaches
and test these if relevant.
Additional Responsibilities as needed:
Participate in group meetings and seminars.
Maintain an accurate and detailed documentation of all code and pipelines
developed. Ensure that others could duplicate results.
What is Required:
Recent Ph.D. in Bioinformatics, Microbial Ecology, Computational Biology,
Chemical/Biochemical Engineering, or related field.
Demonstrated experience in data analysis: environmental metagenomics,
microbial genomics, and viral genomics.
Demonstrated experience in the use of computational methods (experience
in Python, R is a must), databases of genomic information, and methods of
analysis for biological sequence data especially next-generation sequence
Familiarity with common sequence analysis tools including genome binning,
remote homology searches, phylogenetic analysis.
Familiarity with HPC systems.
Demonstrated ingenuity in dealing with complex problems.
Ability to collaborate with a multidisciplinary team of scientists, and
demonstrated record of publishing and presenting at scientific
Experience with large-scale data analysis (e.g. > 100 datasets).
Coding with Python & R.
Experience with multi-omics data from Arctic ecosystems.
Experience with machine learning and AI for large scale data analysis and
Familiarity with the JGI - IMG & IMG/MER & KBase.
Knowledge of microbial metabolic modeling and metabolic flux analysis.
For full consideration, please apply by August 20, 2021.
This is a full-time 1 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 4 years of paid postdoctoral experience. Salary for Postdoctoral
positions depends on years of experience post-degree.
This position is represented by a union for collective bargaining
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
Diversity, equity, and inclusion are core values at Berkeley Lab. Our
excellence can only be fully realized by faculty, students, and staff who
share our commitment to these values. Successful candidates for our
faculty positions will demonstrate evidence of a commitment to advancing
equity and inclusion.
Work will be primarily performed at Lawrence Berkeley National Lab, 1
Cyclotron Road, Berkeley, CA.
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."
Lawrence Berkeley National Laboratory encourages applications from women,
minorities, veterans, and other underrepresented groups presently considering
scientific research careers.