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Industrial pharmacist vs scientist

The differences between industrial pharmacists and scientists 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 scientist. Additionally, a scientist has an average salary of $97,344, which is higher than the $66,263 average annual salary of an industrial pharmacist.

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

Industrial pharmacist vs scientist overview

Industrial PharmacistScientist
Yearly salary$66,263$97,344
Hourly rate$31.86$46.80
Growth rate17%17%
Number of jobs60,11762,467
Job satisfaction--
Most common degreeBachelor's Degree, 64%Bachelor's Degree, 60%
Average age4141
Years of experience44

Industrial pharmacist vs scientist salary

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

Industrial PharmacistScientist
Average salary$66,263$97,344
Salary rangeBetween $39,000 And $111,000Between $67,000 And $140,000
Highest paying City-Redwood City, CA
Highest paying state-California
Best paying company-Airbnb
Best paying industry-Technology

Differences between industrial pharmacist and scientist education

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

Industrial PharmacistScientist
Most common degreeBachelor's Degree, 64%Bachelor's Degree, 60%
Most common majorPharmacyChemistry
Most common collegeDuke UniversityUniversity of Southern California

Industrial pharmacist vs scientist demographics

Here are the differences between industrial pharmacists' and scientists' demographics:

Industrial PharmacistScientist
Average age4141
Gender ratioMale, 68.0% Female, 32.0%Male, 56.9% Female, 43.1%
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, 6.5% Unknown, 4.1% Hispanic or Latino, 9.8% Asian, 26.3% White, 53.2% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between industrial pharmacist and scientist 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).

Scientist example responsibilities.

  • Lead a cross-functional team to return an HIV combination product to market on random-access instrument.
  • Design the VERIS HIV-1 quantitative PCR assay which achieve Conformit Europ enne (CE) marking.
  • Manage an elemental analytical laboratory that include operating, maintaining and troubleshooting an ICP-OES, ICPMS, MXRF, and IC.
  • Develop and manage third party claim investigations and contractor remedial oversight for various insurance companies.
  • Manage study protocols and study conduct, intimately involve in the toxicology and pharmacokinetic study protocol development process.
  • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
  • Show more

Industrial pharmacist vs scientist skills

Common industrial pharmacist skills
  • GMP, 100%
Common scientist skills
  • Chemistry, 9%
  • Data Analysis, 7%
  • Patients, 7%
  • Molecular Biology, 4%
  • Cell Culture, 4%
  • Java, 3%

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