Postdoctoral Research Associate - AI-driven Lab Automation for Life Sciences
Brookhaven National Laboratory
- Hours
- Full time
- Where
- Upton, NY
- Posted
- Aug 17
Brookhaven National Laboratory’s National Synchrotron Light Source II (NSLS-II) seeks a Postdoctoral Research Associate for AI-driven Lab Automation for Life Sciences for an on-site position in the Biological, Environmental and Planetary Science Division.
The aim of the position is to advance the frontiers of structural biology by developing AI-driven methods for improving crystal quality at scale. This role will enable new discoveries in life sciences and bio-technology relying on structural biology methods.
The ideal candidate would have a background and an interest in Biophysics, Biochemistry, Artificial Intelligence and Machine Learning.
Join a team of scientists at the leading macromolecular crystallography beamlines, the crystallization laboratory, the computing center and contribute to science projects at the interface between AI method development and large-scale research faci…
What you'd do
- Develop and implement AI-enabled laboratory-workflows for automated crystallization screening, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes.
- Design and deploy computer vision methods to detect and track crystal growth.
- Develop closed-loop optimization approaches to recommend crystallization conditions and harvesting strategies based on experimental feedback.
- Develop, train and integrate AI/ML models with laboratory automation systems, including crystallization robotics, liquid handlers, and imaging platforms.
- Build scalable data pipelines linking experimental metadata, imaging data, and diffraction results for high-throughput analysis.
- Evaluate model performance using experimental metrics and support deployment into user-facing workflows.
- Collaborate with synchrotron beamline scientists and laboratory and crystallization staff.
- Document methods and results, contribute to manuscripts and reports, and present the work at conferences.
- Participate in interdisciplinary team science.
What they want
- Ph.D. in computer science, bioinformatics, biophysics, applied mathematics, or related field.
- Expertise in machine learning, computer vision, or image analysis.
- Experience with data management and databases.
- Experience working with Python, scientific software development, version control and collaborative code development, such as Git
- Ability to work in interdisciplinary teams.
- Strong publication record.
- Demonstrated commitment to working safely, acting ethically, and taking personal accountability for operational excellence.
About Brookhaven National Laboratory
Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE.
- Starts
- 2026-08-06