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Research kennel supervisor vs product specialist

The differences between research kennel supervisors and product specialists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 4-6 years to become both a research kennel supervisor and a product specialist. Additionally, a product specialist has an average salary of $85,932, which is higher than the $71,298 average annual salary of a research kennel supervisor.

The top three skills for a research kennel supervisor include clinical research, research projects and R. The most important skills for a product specialist are customer service, product knowledge, and sales floor.

Research kennel supervisor vs product specialist overview

Research Kennel SupervisorProduct Specialist
Yearly salary$71,298$85,932
Hourly rate$34.28$41.31
Growth rate19%19%
Number of jobs49,640103,863
Job satisfaction-5
Most common degreeBachelor's Degree, 68%Bachelor's Degree, 64%
Average age3737
Years of experience66

Research kennel supervisor vs product specialist salary

Research kennel supervisors and product specialists have different pay scales, as shown below.

Research Kennel SupervisorProduct Specialist
Average salary$71,298$85,932
Salary rangeBetween $48,000 And $103,000Between $56,000 And $130,000
Highest paying CitySeattle, WASan Bruno, CA
Highest paying stateWashingtonCalifornia
Best paying companyExxon MobilByteDance
Best paying industryProfessionalTechnology

Differences between research kennel supervisor and product specialist education

There are a few differences between a research kennel supervisor and a product specialist in terms of educational background:

Research Kennel SupervisorProduct Specialist
Most common degreeBachelor's Degree, 68%Bachelor's Degree, 64%
Most common majorBusinessBusiness
Most common collegeUniversity of GeorgiaUniversity of Georgia

Research kennel supervisor vs product specialist demographics

Here are the differences between research kennel supervisors' and product specialists' demographics:

Research Kennel SupervisorProduct Specialist
Average age3737
Gender ratioMale, 51.7% Female, 48.3%Male, 59.8% Female, 40.2%
Race ratioBlack or African American, 5.0% Unknown, 5.0% Hispanic or Latino, 11.9% Asian, 12.7% White, 65.3% American Indian and Alaska Native, 0.1%Black or African American, 5.2% Unknown, 5.0% Hispanic or Latino, 12.5% Asian, 10.6% White, 66.6% American Indian and Alaska Native, 0.1%
LGBT Percentage10%10%

Differences between research kennel supervisor and product specialist duties and responsibilities

Research kennel supervisor example responsibilities.

  • Lead social path-to-purchase study, incorporating social media analytics into insight community to identify spectrum of social engagement among customers.
  • Lead social path-to-purchase study, incorporating social media analytics into insight community to identify spectrum of social engagement among customers.
  • Involve in protocol development and implementation as well as developing technical data sheets and MSDS documents.
  • Experience in managing/coordinating cardiovascular, neurological, ocular, infectious disease, diabetes and sleep research

Product specialist example responsibilities.

  • Create and manage RFP responses for potential customers and develop product quotes base on customer requirements.
  • Manage projects and priorities list of ongoing engineering plans base on ROI and business needs, and relay to operations regularly.
  • Perform weekly review and update of lead list against opportunities manage in Salesforce.com.
  • Manage telephone relationships with senior management of client companies to troubleshoot and develop product.
  • Participate in CAPA activities as required.
  • Develop generic UI's that includes re-branding & re-skinning of product.
  • Show more

Research kennel supervisor vs product specialist skills

Common research kennel supervisor skills
  • Clinical Research, 11%
  • Research Projects, 11%
  • R, 10%
  • Data Collection, 9%
  • Research Studies, 6%
  • IRB, 6%
Common product specialist skills
  • Customer Service, 19%
  • Product Knowledge, 7%
  • Sales Floor, 7%
  • Patients, 6%
  • Excellent Interpersonal, 4%
  • Windows, 3%

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