9 дней назад
Postdoctoral Research Associate - AI-driven Lab Automation for Life Sciences (AI)
71 900 - 119 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Postdoctoral Research Associate - AI-driven Lab Automation for Life Sciences (AI/ML): Developing AI-enabled laboratory workflows, computer vision methods, and closed-loop optimization for automated crystallization screening and structural biology with an accent on machine learning, experimental imaging, and diffraction data integration. Focus on building scalable data pipelines, integrating models with crystallization robotics and imaging platforms, and deploying AI workflows for high-throughput life-sciences research.
Location: On-site in Upton, New York, United States
Salary: $71,900–$119,000 per year
Company
is a multidisciplinary U.S. Department of Energy laboratory focused on discovery science and transformative research, including work at the National Synchrotron Light Source II.
What you will do
- Develop AI-enabled workflows for automated crystallization screening, optimization, and characterization.
- Design computer vision methods to detect and track crystal growth using imaging and experimental data.
- Build closed-loop optimization approaches for crystallization conditions and harvesting strategies.
- Train and integrate AI/ML models with crystallization robotics, liquid handlers, and imaging platforms.
- Build scalable data pipelines connecting metadata, imaging data, and diffraction results.
- Collaborate with beamline scientists and laboratory staff, document results, publish findings, and present at conferences.
Requirements
- Ph.D. in computer science, bioinformatics, biophysics, applied mathematics, or a related field.
- Expertise in machine learning, computer vision, or image analysis.
- Experience with data management, databases, Python, scientific software development, Git, and collaborative coding.
- Ability to work in interdisciplinary teams and a strong publication record.
- Candidates must complete all degree requirements before employment begins.
- Selected candidates must be able to obtain and maintain a DOE Uncleared Personal Identity Verification credential.
Nice to have
- Experience with PyTorch, TensorFlow, lab automation, robotics, or ML integration in research facilities.
- Experience with black-box, active-learning, or Bayesian optimization.
- Experience with imaging, time-series, high-dimensional, or multimodal datasets.
- Exposure to crystallography, structural biology, experiment tracking, or reproducible workflows.
Culture & Benefits
- Two-year appointment with possible renewal subject to performance and funding.
- Comprehensive employee benefits program.
- Interdisciplinary collaboration across beamline science, crystallization, laboratory, and computing teams.
- Work focused on structural biology, life sciences, and high-throughput research facilities.
- REAL-ID-compliant documentation is required for laboratory site access.
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