Staff Scientist - Extreme Weather, Predictability & AI​/ML Forecasting

We seek a Staff Scientist with expertise in extreme weather and subseasonal-to-decadal predictability, a strong leadership record in climate and atmospheric science, and experience applying AI/ML to forecasting challenges. The ideal candidate is an interdisciplinary researcher who will lead studies of extreme weather in the context of interannual variability and short-term predictability, using AI/ML to improve prediction and interpretation. Berkeley Lab and the University of California system value scientific excellence.

You will serve as Laboratory Research Manager (Principal Investigator) for the CASCADE Scientific Focus Area (SFA), a multi-institutional DOE-funded program focused on understanding and predicting extreme weather across timescales.

As LRM, you will lead the SFA's scientific direction and performance, overseeing meetings, reviews, milestones, budget, personnel, and coordination with DOE program managers. You will work closely with researchers to ensure impactful outcomes, guide program evolution, support dissemination, and foster new initiatives and collaborations within CASCADE and across DOE efforts at LBNL.

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
• Opportunities to grow in your career - check out our Tuition Assistance Program
• 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

You will:

• Serve as Laboratory Research Manager (PI) for the CASCADE SFA.
• Apply AI/ML and atmospheric science to advance understanding and near-term prediction of extreme weather.
• Identify and pursue interdisciplinary research integrating climate, extremes, human/natural systems, and computational Earth science.
• Lead and collaborate within large, multidisciplinary teams.
• Secure funding through proposals as PI/co-PI and contribute to major collaborative efforts.
• Mentor and supervise scientists, engineers, and postdocs.
• Publish research, write reports, and present results at high-profile venues.
• Engage in national and international workshops and working groups.

We are looking for:

• Ph.D. degree (or equivalent work experience) in physics, atmospheric science, earth science, or a related field.
• 10+ years of relevant research experience.
• Demonstrated excellence in securing external funding as PI and/or co-PI.
• Excellent written and oral communication skills.
• Proven experience leading interdisciplinary collaborative research teams and projects.
• Experience mentoring and advising early career scientists.
• Serves as an established leader of an independent research program or group, making meaningful contributions to the Division and/or Area in a variety of capacities.
• Proven track record of independently conceiving, designing, and directing innovative research initiatives with a multi-year vision with the potential to open new areas of funding.
• Recognized expert and thought leader within the field, with a well-established professional reputation.
• Maintains a sustained record of high-quality publications in peer-reviewed, high-impact journals.
• Frequently presents research findings at prominent conferences and workshops, and serves as an organizer or in a leadership capacity for such events.
• Demonstrated success in collaborating with and leading multidisciplinary teams, as well as cultivating and steering intra- and inter-institutional partnerships.
• Proven ability to contribute effectively as a member of cross-disciplinary teams and initiatives.
• Capability to cultivate a community of trust amongst researchers through emotional intelligence.

Additional information:

• Appointment type:
  This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• Salary range:
  The…