Jobs / Law***
Computational Postdoctoral Fellow (Quantitative Modeling Group)
Law*** · San Francisco Bay Area, CA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
San Francisco Bay Area, CA, United States7,987-8,921 USD/monthlyOnsite
Remuneration
7,987-8,921 USD/monthly
Location
San Francisco Bay Area, CA, United States
Visa sponsorship
Sponsors visa
Job summary
Berkeley Lab’s (LBNL) Biological Systems and Engineering (BSE) Division has an opening for a Computational Postdoctoral Fellow to join the Quantitative Modeling Group led by Héctor García Martín!
Benefits
Address national security needs, and create new jobs and industries.This work will support initiatives within the Agile BioFoundry, the Joint BioEneThis position has an anticipated start date of September 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 globalHave a high level of impact and work for an organization associated with 17 NobeWhy join Berkeley Lab?We invest in our employees by offering a total rewards package you can count on:Exceptional healthGenerous paid time off, sick time off, and holidays.A culture where you’ll belong - we are invested in our teams!You must have less than 3 years of paid postdoctoral experience.
Qualifications
- 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 the Emeryville Station East (ESE) Operations Center located in Building 978 at 5885 Hollis Street Emeryville, CA 94608.
- 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 ).
- Relocation Assistance: This position is eligible for relocation assistance.
- Accordingly, any hiring decision may depend in part on Berkeley Lab’s ability to obtain or rely on federal government authorizations as required, if you are not a U.
- citizen, lawful permanent resident of the U.
- green card holder”), asylee, refugee, or other qualifying protected individual as defined by 8 U.
- 1324b(a)(3).
- Want to learn more about working at Berkeley Lab?
- Please visit: careers.lbl.gov
Responsibilities
- Integrate and analyze complex biological datasets.
- Develop quantitatively predictive models of biological systems.
- Integrate multi-omics data into quantitative computational models.
- Apply Monte Carlo sampling approaches to quantify uncertainty.
- Utilize machine-learning and data-mining approaches to recommend bioengineering interventions.
- Develop new machine-learning algorithms.
- Integrate machine learning techniques with mechanistic modeling approaches.
- Develop, optimize, and maintain code and algorithms supporting predictive models.
- Combine computational algorithms with laboratory automation to enable self-driving laboratories and automate the scientific process.
- Collaborate closely with experimental and automation scientists to guide experimental design and maximize the value of available data to its full potential.
- Partner with software engineers to develop and maintain code following best practices.
- Troubleshoot technical and research problems that may affect the achievement of research objectives and deadlines.
Skills
Communication
Degrees
AssociatePhD
Work schedule
Overtime
Industry
AutomotiveEnergyLogisticsManufacturingPublic-sector
Company size
Smb
Contract length
2 years
Relocation
Yes