Research Scientist Intern, NMR Analysis Automation

Skip to main content Research Scientist Intern, NMR Analysis Automation Meta Redmond, WA Apply Join or sign in to find your next job Join to apply for the Research Scientist Intern, NMR Analysis Automation role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Research Scientist Intern, NMR Analysis Automation Meta Redmond, WA 4 days ago Be among the first 25 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Research Scientist Intern, NMR Analysis Automation role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta Reality Labs is seeking a Research Scientist Intern to contribute to cutting-edge materials research in support of the next generation of hardware. Accelerating battery materials discovery requires evaluating large numbers of electrolyte formulations, but analytical characterization remains a manual bottleneck. As an intern, you will build an end-to-end automated NMR analysis pipeline that transforms raw spectrometer data into ML-ready descriptors, reducing expert analysis time from hours to seconds per spectrum while maintaining quantitative accuracy. Your work will directly enable closed-loop, AI-driven electrolyte discovery for next-generation batteries.Research Scientist Intern, NMR Analysis Automation Responsibilities:Design and execute data processing pipelines for automated analysis of NMR spectra of liquid non-aqueous battery electrolytes (1H, 7Li, 13C, 19F, 31P nuclei) with a clear, measurable speedup over manual analysisImplement signal processing workflows including denoising, automated peak identification and assignment, and constrained deconvolution for overlapping spectral regions in multi-component electrolyte mixturesIdentify the optimum parameters of the pipeline that balance accuracy and throughputConvert NMR spectra into molecular level compositional and structural descriptors (concentrations, chemical structures) to be used for machine learning modelsBuild spectral quality assessment modules that flag problematic spectra and unreliable fitsMinimum Qualifications:Currently pursuing a PhD in analytical chemistry, physical chemistry, chemical engineering, or a related fieldExperience with solution-state NMR spectroscopy – theory, data interpretation, and quantitative analysisProficiency in Python for scientific data processing, including experience with spectral analysis or signal...