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Industrial pharmacist vs postdoctoral associate

The differences between industrial pharmacists and postdoctoral associates can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both an industrial pharmacist and a postdoctoral associate. Additionally, an industrial pharmacist has an average salary of $66,263, which is higher than the $54,350 average annual salary of a postdoctoral associate.

The top three skills for an industrial pharmacist include GMP, and . The most important skills for a postdoctoral associate are patients, TIP, and data analysis.

Industrial pharmacist vs postdoctoral associate overview

Industrial PharmacistPostdoctoral Associate
Yearly salary$66,263$54,350
Hourly rate$31.86$26.13
Growth rate17%17%
Number of jobs60,11718,093
Job satisfaction--
Most common degreeBachelor's Degree, 64%Doctoral Degree, 47%
Average age4141
Years of experience44

Industrial pharmacist vs postdoctoral associate salary

Industrial pharmacists and postdoctoral associates have different pay scales, as shown below.

Industrial PharmacistPostdoctoral Associate
Average salary$66,263$54,350
Salary rangeBetween $39,000 And $111,000Between $39,000 And $74,000
Highest paying City-Berkeley, CA
Highest paying state-Maine
Best paying company-Argonne National Laboratory
Best paying industry-Education

Differences between industrial pharmacist and postdoctoral associate education

There are a few differences between an industrial pharmacist and a postdoctoral associate in terms of educational background:

Industrial PharmacistPostdoctoral Associate
Most common degreeBachelor's Degree, 64%Doctoral Degree, 47%
Most common majorPharmacyChemistry
Most common collegeDuke UniversityDuke University

Industrial pharmacist vs postdoctoral associate demographics

Here are the differences between industrial pharmacists' and postdoctoral associates' demographics:

Industrial PharmacistPostdoctoral Associate
Average age4141
Gender ratioMale, 68.0% Female, 32.0%Male, 63.2% Female, 36.8%
Race ratioBlack or African American, 4.6% Unknown, 3.5% Hispanic or Latino, 7.4% Asian, 27.9% White, 56.4% American Indian and Alaska Native, 0.1%Black or African American, 5.7% Unknown, 3.9% Hispanic or Latino, 8.8% Asian, 39.4% White, 42.0% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between industrial pharmacist and postdoctoral associate duties and responsibilities

Industrial pharmacist example responsibilities.

  • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
  • Perform laboratory qualification of reference standards, including control substances according to GMP requirements.
  • Perform research under ISO9001 certification, and produce marketing literature within FDA regulatory guidelines.
  • Design experiments and statistically analyze data to comply with FDA requirements for stability, specificity, and accuracy.
  • Key activities include process chemistry development, synthesis of intermediates, compound purification and structure identification, and comprehensive scientific documentation.
  • Perform statistical analyses of on/off-line manufacturing data to investigate failures of release parameters (harvest OD).

Postdoctoral associate example responsibilities.

  • Develop and manage third party claim investigations and contractor remedial oversight for various insurance companies.
  • Co-Authore NIH grant proposal on membrane protein folding.
  • Participate in writing research grant applications including NIH and NSF.
  • X-ray protein crystallographic studies on the structures of antibodies and DNA.
  • Purify DNA from subject blood samples and organize the genome screen.
  • Complete mice handling training and currently using CRISPR technology to knockout genes in cell lines.
  • Show more

Industrial pharmacist vs postdoctoral associate skills

Common industrial pharmacist skills
  • GMP, 100%
Common postdoctoral associate skills
  • Patients, 8%
  • TIP, 7%
  • Data Analysis, 6%
  • Biomedical, 5%
  • CRISPR, 5%
  • Python, 4%

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