Assoc. Scientist,post Doc Fellow

Merck Merck · Pharma · NJ

This postdoctoral research fellow role focuses on developing innovative high-throughput crystallization strategies and methodologies using automation and machine learning to discover new solid forms in pharmaceutical research. The role involves characterizing these forms using various analytical techniques and building analytical methods to process large datasets.

What you'd actually do

  1. Design and develop automated crystallization methodologies, and execute studies to discover and identify novel solid forms.
  2. Perform high-throughput physical characterization using Raman microscopy, high-throughput microscopy, or powder X-ray diffraction.
  3. Build analytical methods using machine learning or other analytical tools to process and analyze spectra or image datasets.
  4. Leverage traditional and advanced physical characterization and crystallography techniques to understand solid-state and structural properties, respectively.
  5. Interpret and present data to internal and external collaborators.

Skills

Required

  • Experience in physical characterization (Raman spectroscopy, X-ray diffraction, crystallography, thermal analysis, etc.) of organic and/or inorganic materials.
  • Experience in crystallization and crystal growth.
  • Interest in automation, high-throughput physical characterization, and machine learning.
  • Proven ability to independently design and execute experiments, interpret data, and identify appropriate follow-up studies.
  • Track record of adaptability, creativity, critical thinking, innovation, integrity, and teamwork.
  • Strong attention to detail with the ability to multi-task and handle multiple responsibilities simultaneously.
  • Strong track record of scientific achievements (publications, patent, etc.) and effective writing skills.
  • Analytical Chemistry
  • Confocal Raman Microscopy
  • Crystallography
  • Data Analysis
  • Raman Spectroscopy
  • Solid State Chemistry
  • Spectroscopy
  • X-RAY CRYSTALLOGRAPHY

Nice to have

  • Experience in automation, Raman microscopy, and crystallography.
  • Knowledge and skills in machine learning or large dataset analytics.
  • Demonstrated ability to be productive and a strong aptitude for learning and adopting new techniques and technologies.
  • Analytical Method
  • Analytical Research
  • Scientific Writing

What the JD emphasized

  • machine learning
  • high-throughput

Other signals

  • develop innovative high-throughput crystallization strategies
  • utilize automation techniques to screen various crystallization processes
  • develop new analytical platforms utilizing machine learning and other analytical tools to process large datasets of spectra and images