Predictive Microbial Genomics Postdoctoral Fellow (KBase Project)

Berkeley Labs (LBNL) Environmental Genomics and Systems Biology (EGSB) Division has an opening for a Postdoctoral Fellow to join the US Department of Energys (DOE) Systems Biology Knowledgebase (KBase) team!

In this exciting role you will help develop an iterative system that integrates data and findings into KBase identify knowledge gaps generate testable biological predictions support experimental validation and incorporate validated results back into the knowledge base. The position sits at the center of a system designed to continuously advance biological understanding.

This position has an anticipated start date of November 1 2026

Were here for the same mission to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

Why join Berkeley Lab

We invest in our employees by offering a total rewards package you can count on:

• Exceptional health benefits.
• Generous paid time off sick time off and holidays.
• A culture where youll belong - we are invested in our teams!

What You Will Do:

• Annotate classify and functionally analyze microbial genomes and pangenomes.
• Develop predictive models linking genotype to phenotype and gene function using the accrued KBase data corpus.
• Design prediction and validation cycles in collaboration with experimental researchers and incorporate experimental results to improve subsequent predictions.
• Construct and refine genome-scale metabolic and microbial community models using data from the KBase corpus including genome-wide fitness measurements curated phenotypes metabolic reconstructions and other mechanistic information for model training conditioning and retrieval.
• Develop and validate open benchmarks to evaluate model performance against biological mechanisms including gene function fitness phenotype and pathway completion.
• Define calibration and uncertainty measures that account for factors such as taxonomic distance annotation quality and data sparsity.
• Publish open FAIR (findable accessible interoperable and reusable) well-documented methods code benchmarks and datasets as well as scientific discoveries in peer-reviewed journals.

What is Required:

• A recent Ph.D. (within the last 1-2 years) in Bioinformatics Computational Biology Microbiology Systems Biology or a related field.
• Demonstrated experience in the computational analysis of microbial genomes including genome annotation functional analysis pangenomics and phylogenomics.
• Proficiency in applying data science machine learning and statistical methods to biological data using Python and/or R.
• Strong organizational skills including experience maintaining detailed and accurate records of results and analyzed data.
• Excellent verbal and presentation skills including experience preparing research reports manuscripts and scientific publications for group meetings conferences and scientific journals.
• Demonstrated interpersonal communication skills including experience conducting independent data-driven research and collaborating with an interdisciplinary research team.

Desired Skills/Knowledge:

• Experience with genome-scale metabolic modeling microbial community modeling and/or physical Al applications in biology.
• Experience designing experiments or collaborating closely with wet-lab teams to validate computational predictions.
• Familiarity with high-performance and/or cloud computing as well as reproducible workflow practices.
• Prior experience using KBase or comparable open biological data platforms.

Additional Information:

• Application Date: Priority consideration will be given to candidates who apply with a curriculum vitae (CV) or resume and a cover letter describing their interest in this position by October 12 2026. Applications will be accepted until the job posting is removed.
• Appointment Type: This is a full time exempt from overtime pay (monthly paid) 2 year (benefits eligible) Postdoctoral Fellow appointment with the possibility of renewal based upon satisfactory job performance continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. This position is represented by a union for collective bargaining purposes.
• Salary Range: The salary range for this position is $6048 - $7205 monthly / $72576 - $87000 annually and is expected to start at $6048 monthly / $72576 annually or above. Postdoctoral positions are paid on a step schedule per union contract and salaries are predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral and/or related research experience.
• Background Check: This position is 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 Modality: This position will be performed onsite at Lawrence Berkeley National Lab located at 1 Cyclotron Road Berkeley CA 94720. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).

Want to learn more about working at Berkeley Lab Please visit:

Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science Service Trust Innovation and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Labs mission of leading scientific discovery excellence and support of our rich global community all qualified applicants will be considered for employment without regard to race color religion sex sexual orientation gender identity national origin disability age protected veteran status or other protected categories under State and Federal law.

Misconduct Disclosure Requirement: As a condition of employment the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer. For additional information click here.