Similar Jobs

View More

Formulation Scientist, Nanoparticles (non-PhD) 10/9/2017

Pfizer Inc. Pearl River, NY

Location
Pearl River, NY
AJE Ref #
579715457
Job Classification
Full Time
Job Type
Regular
Company Ref #
375122
Experience
Entry Level (0 - 2 years)

JOB DESCRIPTION

APPLY
img src="https://counter.adcourier.com/YnJlbmRhLmJvd2xpbmcuMzU1NjUuNDI0M0BwZml6ZXIuYXBsaXRyYWsuY29t.gif" p strong ROLE SUMMARY /strong br / br / This formulation scientist will be responsible for developing, evaluating and characterizing targeted nanomedicines within a dynamic and highly interdisciplinary environment. He/she will be responsible for executing lab experiments, reporting results and representing formulation activities to the project team. Experience with polymeric nanoparticle preparation techniques, biophysical / chemical characterization, and surface modification are must. The successful candidate must have a foundation in chemical, biological, or biochemical sciences or materials engineering with experience in the drug delivery field. br / br / The incumbent displays strong technical knowledge in various aspects of drug delivery, formulation and process with a drive to learn new techniques while working at the laboratory bench. Incumbent must have the scientific commitment and strong desire to make impactful scientific and technical contributions within the nanomedicine research field strong ROLE RESPONSIBILITIES /strong /p ul li As a lab-based formulation scientist, you will be responsible to develop, and evaluate nanoparticles /li li Participate in determining specific physiochemical properties of drugs, excipients, and polymers, and applying that knowledge to the development of successful polymer and lipid nanoparticles drug delivery strategies. /li li Duties include planning, designing, executing, interpreting, and reporting results for complex studies. /li li As our R&D programs integrate synthetic and polymer chemistry particle delivery technology and biological sciences, the candidate must work and learn across multiple technical disciplines. /li li Organize, evaluate, critique, and present data in an effective and scientific manner. /li /ul