Scientist - Biologics

Job Responsibilities:

• Conduct and interpret biophysical characterization and preformulation studies to define develop ability/liability profiles and support candidate assessment.
• Provide experimental, computational, and AI-enabled input to protein discovery scientists using predictive models, data mining, and informatics tools for lead optimization and candidate selection.
• Design and guide development of formulations for drug discovery pharmacology, PK, and initial exploratory toxicology studies.
• Enable drug discovery via innovative drug delivery technologies/devices and data-driven/AI-enabled approaches to improve biologics delivery.
• Shape Discovery Pharmaceutics & Analytical Sciences strategy as a problem-solving partner and support transfer to development.
• Advance candidate optimization by developing expertise on how biophysical properties impact biopharmaceutical performance of proteins/antibodies/large molecule modalities.

• PhD (0–2 yrs) or MS (3+ yrs) or BS (5+ yrs) in Pharmaceutics, Biochemistry, Chemistry, Pharmaceutical Chemistry, Molecular Biology, Bioengineering, Chemical Engineering, or related.
• Required knowledge of protein chemistry/biopharmaceutical principles; biophysical properties and analytical methods relevant to in vivo delivery/disposition.
• Experience with protein/peptide chromatography (UPLC/HPLC), protein foot printing (mass spectrometry), peptide mapping, glycosylation and PTM analysis.
• Strong preformulation knowledge and ability to guide/interprete preformulation data.
• Desired: understanding of drug delivery technologies/devices.
• Required:
  
  strong written/verbal communication and team collaboration skills.
• Desired: innovative problem-solving and ability to implement; highly desirable ability to use digital/computational/AI tools; sound AI judgment (data quality, model limits, reproducibility, documentation, confidentiality, human review).

Princeton, NJ, US: $101,800–$123,353; health/401(k)/disability/life/other listed benefits; paid time off.