Post Doc Scientist

Role Summary

Postdoctoral Research Fellow in Analytical Development focused on developing next-generation spectromicroscopy strategies (Raman, FTIR, OPTIR, MALDI MS) to characterize long-acting injectable (LAI) drug depots and understand their in-tissue chemical and solid-state behavior. This role provides a unique opportunity to integrate advanced spectroscopy, multimodal imaging, chemometrics, and machine learning to address key scientific questions related to drug release, depot stability, and injection-site responses.

Collaborates closely with Formulation, DMPK, DPP, and Toxicology teams and presents research in internal forums and external publications and conferences.

• Develop and optimize Raman, FTIR, OPTIR, and MALDI MS methods to characterize depot chemistry and solid-state forms across synthetic media and ex vivo tissues.
• Perform stress-induced solid form transition studies (pH, oxidative stress, moisture-driven transformations) for model LAI systems.
• Build machine-learning and chemo metric models (CLS, PLS, PCA, image-based segmentation) to map drug distribution, degradation, and polymorphic transitions.
• Characterize drug depots in porcine dermis, fat, and muscle tissue to assess in-tissue transformations and correlate analytical findings with histopathology and ISR outcomes.
• Integrate multimodal datasets (Raman/IR/MALDI) into unified chemical imaging workflows to support formulation development.
• Collaborate closely with Formulation, DMPK, DPP, and Toxicology teams on cross‑functional LAI development.
• Present research in internal forums and contribute to high‑impact external publications and conferences.

• Required:
  
  PhD in Chemistry, Chemical Engineering, Pharmaceutical Sciences, Materials Science, Optics Science, Biomedical Engineering, Mechanical Engineering or related discipline.
• Required:
  
  Hands‑on experience with Raman and/or FTIR spectroscopy.
• Required:
  
  Proficiency in Python and/or MATLAB for spectroscopic data processing, multivariate analysis, and deep learning for image segmentation.
• Required:
  
  Strong scientific curiosity, problem‑solving ability, and independent research skills.
• Required:
  
  Demonstrated track record of conference presentations or peer‑reviewed publications.
• Preferred:
  Experience with OPTIR, digital microscopy, fluorescence microscopy, quantitative phase microscopy, SEM/EDS, XRPD, MALDI‑IMS, HPLC, LCMS.
• Preferred:
  Experience with building and maintaining advanced or non‑linear spectroscopy/microscopy instruments.
• Preferred:
  Background in solid‑state characterization, LAI formulation, or tissue‑based imaging workflows.
• Preferred:
  Familiarity with chemo metric platforms (e.g., PLS Toolbox).
• Preferred:
  Excellent communication skills and ability to work in a matrixed, multidisciplinary environment.

• Multimodal imaging and data integration
• Chemometrics and multivariate analysis
• Machine learning and deep learning for image analysis
• Scientific communication and cross‑functional collaboration
• Experimental design and problem solving