2025 Postdoctoral Research Associate – AI/machine learning for analytical and forensic chemistry

**Job Description**
The Skinnider Lab at Princeton University is seeking a postdoctoral fellow or senior researcher to apply artificial intelligence/machine learning (AI/ML) to the computational analysis of chemical and biochemical datasets. A primary focus is the identification of small molecules, including emerging illicit drugs, from mass spectrometry-based metabolomics data using generative AI models and language models. The role involves developing and applying computational approaches, collaborating with experimentalists for validation, and creating user-friendly tools. The research is computational but requires close interaction with experimental collaborators and contributing to data preprocessing and curation due to noisy data.

**Skills & Abilities**
• Motivated
• Independent
• Strong written communication skills

**Qualifications**
Required Degree(s) in:
• Ph.D. in Computational Biology
• Ph.D. in Chemistry
• Ph.D. in Biochemistry
• Ph.D. in Computer Science
• Ph.D. in Biological Engineering
• Ph.D. in Chemical Engineering
• Ph.D. in Forensic Science
• Ph.D. in a related field

**Experience**
Other:
• Demonstrated experience (at least one first-author publication) in one or more of the following areas: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science.

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