Bioinformatics Genomics Analyst (User Support Analysis Group)

Lawrence Berkeley National Laboratory • Berkeley, CA

1d • $117,132 - $146,400 • Hybrid

About The Position

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

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level