AI Focused Biochemistry Postdoctoral Fellow

Berkeley, CA

Lawrence Berkeley National Lab

View company page

AI Focused Biochemistry Postdoctoral Fellow - 102048
Division: AM-Applied Mathematics and Computational Research

Berkeley Lab’s Applied Mathematics and Computational Research Division seeks an AI Focused Biochemistry Postdoctoral Fellow with expertise in AI and foundation models (e.g., LLMs) for knowledge discovery. A background in biochemistry is highly desirable. As part of the Applied Computing for Scientific Discovery Group (ACSD), you will develop software tools and applications to enable scientific discoveries in key DOE mission areas, focusing on integrating and analyzing complex data from simulations and experiments.

You will work in a multidisciplinary team, collaborating with scientists from biosciences, physical sciences, and computational sciences. Your role involves contributing to ACSD’s efforts in understanding biochemical processes for carbon capture by developing AI and inverse design technologies for accelerated discovery in biological ecosystems.

What You Will Do:

  • Develop, test, benchmark, and tune AI and foundation models with experimental biochemical data.
  • Create computational biochemical data sets.
  • Deploy developments on high-performance computing platforms.
  • Collaborate with scientists from biosciences, physical sciences, and computational sciences.
  • Author peer-reviewed journal articles and contribute to research proposals.
  • Publish developed algorithms as software packages.


What is Required:

  • Ph.D. in the last 3 years in Machine Learning, Applied Mathematics, Statistics, Computational Science, 
  • Chemical or Biochemical Sciences, or related field.
  • Strong research background in AI, foundation models, and programming.
  • Fundamental knowledge of biology or biochemistry.
  • Experience in developing AI and foundation models for biochemistry or chemistry.
  • Excellent Python programming skills.
  • Experience with high-performance computing.
  • Ability to work in an energetic cross-disciplinary team.
  • Excellent oral and written communication skills.
  • Strong interpersonal skills.


Desired Qualifications:

  • Experience developing datasets for biology or biochemistry.
  • Experience with molecular computational chemistry methodologies.


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 salary range for this position is $77,172 - $103,704 and is expected to start at $94,116 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 is represented by a union for collective bargaining purposes.
  • 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 will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Position is eligible for an on-site or hybrid work schedule.


How To Apply
Apply directly online and follow the on-line instructions to complete the application process.

Learn About Us:
Berkeley Lab is a U.S. Department of Energy national laboratory managed by the University of California and designated a Federally Funded Research and Development Center. Located in the San Francisco Bay Area, we have a close relationship with UC Berkeley, as well as robust partnerships with other academic institutions and industries, including those in Silicon Valley. The Laboratory conducts world-class research that supports clean energy, a healthy planet, and solution-inspired discovery science. Berkeley Lab is defined by our deeply felt sense of stewardship which we describe as a commitment to taking care of the Laboratory's research, people, and resources that are entrusted to us. Our values of team science, innovation, service, trust, and respect knit us together as a community. We practice these values and prioritize our principles of inclusion, diversity, equity, and accountability (IDEA) to build highly effective teams that produce world-class science and technology and where all individuals, regardless of their backgrounds, disciplines, and experiences, can thrive.

Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab - Click Here.

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, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.

Apply now Apply later
  • Share this job via
  • or

Tags: Biochemistry Biology Chemistry LLMs Machine Learning Mathematics Python Research Statistics

Perks/benefits: Career development Competitive pay Equity / stock options

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.