Postdoc - AI / machine learning for analytical and forensic chemistry

Overview

The Skinnider Lab at Princeton University aims to recruit a postdoctoral fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025 and will remain open until excellent fits are found.

Responsibilities

• Develop and apply computational approaches to chemical datasets, with AI / ML as a major focus.
• Work on identification of small molecules using mass spectrometry data and explore language models to predict undiscovered small molecules likely to be observed by MS.
• Identify emerging illicit drugs (novel psychoactive substances) in seized drug products or clinical samples.
• Collaborate with experimentalists to validate predictions and develop user-friendly tools for use by a broad community.
• Contribute to data preprocessing and curation in addition to model development and evaluation.

Qualifications

Appointment Details

Application Process

To apply online, please submit a CV and a cover letter highlighting 1–3 publications or preprints that best address the required experience. Include contact information for three references. Qualified candidates who pass initial screening may be provided with short programming exercises to assess skills. Applications are reviewed until the position is filled. The application deadline is 2025-12-17.

Note : This position involves in-person work on the Princeton University campus. Additional information will be provided during the application process.

J-18808-Ljbffr