Advanced Analysis Manager

Berkeley Lab’s (LBNL) Joint Genome Institute (JGI) has an opening for an Advanced Analysis Manager to lead a team of Data Scientists and Engineers within their Data Science and Informatics Department!

In this exciting role, you will report to the Chief Informatics Officer (CIO) and lead your team to develop the next generation of software infrastructure to support data generation, analysis, and dissemination for the U.S. Department of Energy’s (DOE) Joint Genome Institute. You will be responsible for managing engagements with external partners, including JGI’s computer infrastructure providers and collaborative development efforts with the U.S. Department of Energy’s (DOE) Systems Biology Knowledgebase (KBase) team. 

The position will support the CIO in shaping and executing the overall strategy for data science and informatics. As a member of the JGI Management Team, you will actively contribute to strategic planning and provide leadership for key JGI initiatives. You will have the opportunity to develop the next generation of distributed software infrastructure for JGI, represent the JGI in relevant reviews, national and international activities, and within the broader DOE National Laboratory system.  

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 October 1, 2025.

What You Will Do:

• Provide effective line management for a team of approximately 10 data platform and software engineers, including hiring, performance management, and professional development. Ensure team members meet goals, deliver regular constructive and positive feedback, and maintain motivation and engagement.
• Utilize Agile software management practices to manage team development activities.
• Manage relationships with key external partners, including but not limited to:
  • The National Energy Research Scientific Computing Center (NERSC), coordinating with a cross-functional team of approximately 8 staff across the Data Science Engagement Group, Infrastructure Systems Group, Storage Systems Group, and Computational Systems Group.
  • The DOE Knowledgebase (KBase), a critical partnership that provides the JGI’s user community with access to computational resources, high-quality data, and efficient tools for multi-omics analysis.
  • The Environmental Molecular Sciences Laboratory (EMSL) at Pacific Northwest National Laboratory (PNNL).
• Collaborate with other teams at JGI to ensure that applications run efficiently across JGI’s supercomputing infrastructure, storage systems, web gateways, and database resources.
• Oversee JGI’s data management infrastructure, ensuring that data generated by JGI and its partners is securely managed and preserved.
• In partnership with the CIO and JGI leadership, develop and execute a strategic plan for JGI’s infrastructure to support scientific and operational objectives.
• Partner with the Systems Infrastructure Team on the procurement of hardware infrastructure to meet the evolving needs of JGI science and operations.
• Collaborate with JGI scientists and researchers across Berkeley Lab, including the Computational Research Division, to evaluate and implement new methods and algorithms that enhance system capabilities and improve the user experience.
• Continuously assess emerging technologies and provide recommendations on future technical directions to advance the organization’s mission.

What is Required:

• A Bachelor’s Degree (or equivalent knowledge/training) in Bioinformatics, Computational Biology, Computer Science, Engineering, or a related field and a minimum of 10 years of experience overseeing complex systems support and engineering, computer systems, and/or networking operations or an equivalent combination of education and experience.
• A minimum of 3 years of experience leading and managing a team, including hiring, training, developing, retaining, and performance managing a talented and dynamic workforce.
• Experience developing or operating secure, scalable distributed software systems in a production environment.
• Experience in strategic planning and implementation of complex infrastructure to support life sciences workloads.
• Demonstrated experience with Agile software development practices.
• Excellent oral and written communication skills including experience preparing and presenting technical information for a variety of audiences.
• Demonstrated interpersonal skills including experience fostering positive collaborative relationships to resolve technical and interpersonal conflicts with diplomacy and tact in an interdisciplinary research environment.

Desired Qualifications:

• A Master’s Degree (or equivalent knowledge/training) in Bioinformatics, Computational Biology, Computer Science, Engineering, or a related field.
• Expertise in data-intensive computing, statistical learning, genomics data portals, or multi-omics analysis tools, with the ability to engage at the national level to influence and guide emerging technological directions.
• Demonstrated ability to develop project schedules and budget estimates, and to ensure adherence to established timelines.
• Familiarity with data-intensive analysis development practices, as well as bioinformatics and computational biology.

Notes:

• Application Deadline: For full consideration, please apply with a resume and cover letter describing your interest in this position by August 7, 2025.
• 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 is expected to pay $168,564 - $210,720 annually, which fits within the full salary range of $168,564 - $284,472 annually for job code C70.7.  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 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 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. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. 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: 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.