Brookhaven National Laboratory

Postdoctoral Research Associate - AI-driven Structure Analysis for Biological Discoveries

Brookhaven National Laboratory$71K — $119K *
Upton, NY 11973In-Person
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in computer science, computational biology, physics, or related field.
  • Expertise in machine learning or AI.
  • Experience with molecular dynamics simulations and computational workflows.
  • Ability to work in teams.
  • Demonstrated track record of publications in the field.

Responsibilities

  • Develop workflows to improve models and maps for optimal ligand placement.
  • Create AI/ML methods for automated interpretation of crystallography data.
  • Build and curate training datasets linking electron density maps to structural models.
  • Design and evaluate AI models for 3D structural data.
  • Develop workflows for processing time-resolved crystallography data.
  • Integrate molecular dynamics with AI/ML methods.
  • Benchmark and integrate protein foundation model performance with experimental analysis.
  • Collaborate with domain, beamline, and computational scientists.

Benefits

  • Opportunity to work at Brookhaven National Laboratory, a leader in scientific research.
  • Collaboration with a team of scientists in cutting-edge research facilities.
  • Chance to advance the frontiers of structural biology using AI and ML techniques.
  • Potential for position extension based on performance and funding availability.
Full Job Description

Brookhaven National Laboratory’s National Synchrotron Light Source II (NSLS-II) seeks a Postdoctoral Research Associate for AI-driven Structure Analysis for Biological Discoveries for an on-site position in the Biological, Environmental and Planetary Science Division.

Advance the frontiers of structural biology by developing AI-driven methods for interpreting complex crystallographic data. This role will enable new discoveries in protein function, ligand binding, and dynamics through scalable computational analysis.

The ideal candidate would have a background and an interest in Computational Biology, Artificial Intelligence and Machine Learning.

Join a team of scientists at the leading macromolecular crystallography beamlines and at the computing center and contribute to science projects at the interface between AI method development and large-scale research facilities.

Essential Duties and Responsibilities

  • Develop workflows to improve models and maps to optimize likelihood for ligand placement

  • Develop AI/ML methods for automated interpretation of crystallography data for optimal ligand placement.

  • Build and curate training datasets linking electron density maps and structural models.

  • Design and evaluate AI models for 3D structural data.

  • Develop workflows for time-resolved crystallography data processing.

  • Integrate molecular dynamics with AI/ML methods.

  • Benchmark protein foundation model performance and integrate them with experimental analysis pipelines.

  • Work collaboratively with domain scientists, beamline scientists, and computational scientists.

  • Document methods and results.

Required Knowledge, Skills, and Abilities

  • Ph.D. in computer science, computational biology, physics, or related field.

  • Expertise in machine learning or AI.

  • Experience with molecular dynamics simulations and computational workflows.

  • Ability to work in teams.

  • Demonstrated track record of publications in the field.

Preferred Knowledge, Skills, and Abilities

  • Experience with structural biology, 3D ML and biology specific AI models.

  • Experience with HPC and surrogate modeling.

  • Familiarity with workflow orchestration tools.

Additional Information:

  • This position is a 2-year term, with the possibility of renewal contingent on performance and funding availability
  • Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $ $71,900-$119,000 / year. You will be placed at the level and salary commensurate with your experience. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group
  • Candidates must have completed all degree requirements by the commencement of employment
  • BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events

About Brookhaven National Laboratory

Brookhaven National Laboratory is a research and development laboratory that conducts research in various fields, including physics, chemistry, biology, medicine, and environmental science. The laboratory is operated by Brookhaven Science Associates, a partnership between Stony Brook University and Battelle Memorial Institute. Brookhaven National Laboratory is located in Upton, New York, and has over 3,000 employees. The laboratory was founded in 1947 and is funded by the U.S. Department of Energy's Office of Science.
Learn more about Brookhaven National Laboratory
Size
3,000 employees
Industry
Founded
1947

Similar Jobs

More Jobs at Brookhaven National Laboratory

More Pharmaceuticals & Biotech Jobs

Find similar Postdoctoral Research Associate - AI-driven Structure Analysis for Biological Discoveries jobs: