Bioinformatics Genomics Analyst (User Support Analysis Group)

Berkeley Lab’s (LBNL) Joint Genome Institute (JGI) has an opening for a Bioinformatics Genomics Analyst to join the User Support Analysis Group! In this exciting role, you will support data analysis efforts, focusing on strategically important areas of genomic technology development. You will contribute to the maintenance, optimization, and execution of analysis pipelines for both new and existing JGI user products, including single-cell RNA-seq and metabolomics analysis pipelines. You will collaborate with JGI users and researchers to fulfill custom analysis requests and support analytical initiatives aimed at scaling laboratory throughput capacity. Reporting to the User Support Analysis Group Lead, this position leverages bioinformatics tools to process data from multiple sequencing platforms and works closely with analysts and laboratory scientists to translate complex genomic data into actionable insights. You will combine strong hands-on technical work with critical thinking skills and the ability to effectively communicate data-derived insights to a wide range of users and staff. The JGI’s mission is to provide the global research community with access to the most advanced integrative genome science capabilities in support of the DOEs research mission to solve the world’s evolving energy and environmental challenges. The JGI supports projects in genome sequencing, synthesis, transcriptomics, metabolomics, and natural products in plants, fungi, algae, and microorganisms. This position is headquartered on the Lab’s main site at the Integrative Genomics Building (IGB) (Virtual Tour). This position has an anticipated start date of April 1, 2026. We’re 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 and retirement benefits, including pension or 401K-style plans
A culture where you’ll belong - we are invested in our teams!
In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
Parental bonding leave (for both mothers and fathers)
Pet insurance What You Will Do:
Collaborate with cross-functional teams to formalize and validate the single-cell transcriptome analysis pipeline, supporting the transition from an R&D product to a production-ready service, including establishing quality control metrics, documentation standards, and user-facing reports.
Partner with data management teams to integrate pipeline outputs into existing data storage and archival systems, ensuring seamless data transfers, accurate metadata capture, and accessible delivery of analysis results to end users.
Support ongoing analysis of user projects across a variety of platforms and analytical pipelines.
Contribute to group initiatives, including aligning input data retrieval for all analysis pipelines with new metadata tracking systems and standardizing workflow outputs to align with “data lakehouse” infrastructure.
Perform targeted analyses to evaluate the impact of operational changes on data quality and experimental outcomes.
Apply advanced knowledge of genome biology and bioinformatics to provide interpretation of genomic datasets and present findings to internal and external staff. What is Required:
A Bachelor’s Degree (or equivalent knowledge/training) in Biology, Genomics, Computer Science or a related discipline and a minimum of 5 years of relevant experience in Bioinformatics or an equivalent combination of education and experience.
Demonstrated experience with standard bioinformatics methods and tools, including sequencing databases, genome assemblers, and aligners.
Experience with parallel computing and the analysis of high-throughput genomic datasets.
Demonstrated proficiency with programming languages including Python, R, and their application to statistical analysis and data visualization.
Strong analytical skills including the ability to identify problems, troubleshoot, and demonstrate good judgement in selecting methods and techniques for obtaining solutions.
Excellent oral and written communication skills, including experience organizing and presenting technical information to varying audiences.
Demonstrated interpersonal skills including experience collaborating with an interdisciplinary research team in a multi-disciplinary scientific or production environment. Desired Qualifications:
A Master’s Degree (or equivalent knowledge/training) Bioinformatics, Computer Science or a related discipline.
A minimum of 3 years of professional work experience in Bioinformatics
Experience with Jupyter Notebooks, version control tools (eg., GitHub and GitLab), docker/singularity images, and workflow management systems such as WDL, Nextflow, and Snakemake.
Experience developing clear, informative user-facing reports for large-scale genomic datasets.
Demonstrated success in the design and implementation of data quality analyses, especially for new genomic assays and new laboratory protocols.
Experience designing and maintaining robust, scalable analysis workflows supporting hundreds to thousands of samples. Additional Information:
Application Date: Priority consideration will be given to candidates who apply with a resume and cover letter describing your interest in this position by Monday, March 16, 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), Term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
Salary Information: This position has a budgeted salary range of $117,132 - $146,400 annually, which fits within the full salary range of $117,132 - $197,676 annually for job code C70.2. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.
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 is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab located at 1 Cyclotron Road, Berkeley, CA 94720. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).
Relocation Assistance: This position is eligible for relocation assistance.
Work Authorization: Applicants must be legally authorized to work in the United States. Berkeley Lab does not provide visa sponsorship for this position. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov 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 Lab's mission of leading scientific discovery, excellence, and professionalism. In 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. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.