Lawrence Berkeley National Laboratory
Machine Learning Postdoctoral Scholar
Job Description
The Computational Biosciences Group in the Computational Research Division at Berkeley Lab is seeking a Machine Learning Postdoctoral Scholar. This position will focus on developing and applying methods to integrate LLMs and GNNs at scale, combining sequence and structure modalities of proteins towards enhancement of protein function.
What You Will Do:
- Develop and apply methods to integrate LLMs and GNNs at scale.
- Analyze AI model outputs.
- Write high-quality code.
- Prepare visualizations of data results.
- Present results to colleagues and scientific audiences.
- Publish data and write papers.
Additional Responsibilities as Needed:
- Assist in grant writing.
What is Required:
- PhD in computer science, electrical engineering, physics, data science, or related fields.
- Experience with LLM and/or GNNs.
- Must be able to work in a collaborative, multi-disciplinary environment and exhibit good communication skills.
- Experience with scientific programming languages (e.g., C/C++, Python).
Notes:
- This is a full-time, 2-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
- This position is represented by a union for collective bargaining purposes.
- The monthly salary range for this position is $6,431-$8,642 and is expected to start at $7,843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
- 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.
- This position is eligible for a hybrid work schedule – a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse 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, or protected veteran status.
Equal Opportunity and IDEA Information Links: Know your rights, Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.
EWJP2
